MegaMatcher is designed for large-scale AFIS and multi-biometric systems developers. The technology ensures high reliability and speed of biometric identification even when using large databases.Available as a software development kit that allows development of large-scale single- or multi-biometric fingerprint, iris, face, voice or palm print identification products for Microsoft Windows, Linux, Mac OS X, iOS and Android platforms.

Proven Technology in National-Scale Projects

Multiple complex biometric transactions processing with high speed,reliability, and accuracy using proprietary fused matching algorithm technology.Implemented successfully in national-scale projects,like passport issuance,EMR,law enforcement and defense,ID system and voter deduplication.

 Multi-Modality Support

Accepts fingerprint,face,voice,palmprint,and iris images for creating multiple biometric templates and searching against the database.Proprietary fused matching algorithm provides high matching accuracy.

Biometric Adjudication

Can determine questionable biometric matching results and allow human discretion to facilitate decision making .

 Rolled, flat and latent fingerprint matching

The MegaMatcher fingerprint engine matches rolled and flat fingerprints between themselves with a high degree of reliability and accuracy. It is tolerant to fingerprint translation, rotation and deformation.

 Megamatcher Fused algorithm

Multi-modal biometric recognition engines along with a fused algorithm ensure fast and reliable identification in large-scale systems.

Each of the fingerprint, face, voice and iris identification algorithms may be used separately to develop AFIS, automated face, speaker or iris identification systems.

Automatic voice activity detection

Reliable, automatic speaker recognition with certain natural variations (i.e. hoarse voice) or environment changes (i.e. offi ce and outdoors). Voice recognition using unique or different text phrases for two factor authentication with a passphrase.

Latent Fingerprint Template Editing

Suitable for developing both civil AFIS and forensic AFIS applications as it supprts Latent fingerprint template editingnecessary in order to submit a latent fingerprt (for example, one taken from a crime scene) for the identification into
AFIS. Able to match rolled and flat fingerprints between themselves

Facial attributes recognition

MegaMatcher ensures reliable face recognition, age estimation and can detect certain attributes during the face extraction like, smile, open/closed-mouthed, dark glasses, etc. Tolerance to face position assures a level of enrollment convenience

 NIST IREX proven reliability

Robust eye detection despite obstructions to the image, visual noise and/or different levels of illumination. Matching speed up to 200,000 comparisons per second on a single PC. Based on VeriEye, recognized by NIST as one of the most reliably accurate iris recognition algorithms available

High Availability and Fault Tolerance

High system reliability and better performance with parallelly running instances of some or all components.

Modular and Scalable Architecture

Modular architecture that caters to specific system performance requirements.Each such component designed for a specific task can be scaled up to meet project requirements.

Compliance with Biometric Standards

Allows the use of BioAPI 2.0 , ANSI/NIST-ITL-1, ISO/IEC 19794-2, ISO/IEC 19794-5 and ISO/IEC 19794 6 biometric template standards.WSQ component  for system compatibility with other software as well as modules for conversion between MegaMatcher template and biometric standards.

 

• Proven in national-scale projects, including passport issuance and voter deduplication.
• NIST MINEX-compliantfingerprint engine, NIST IREX proven iris engine.
• High performance matching for national-scale systems withMegaMatcher Accelerator.
• Fingerprints, irises and faces can be matched on smart cards usingMegaMatcher On Card.
• Includes fingerprint, iris, face, voice and palm print modalities.
• Rolled, flat and latent fingerprint matching.
• BioAPI 2.0 and other ANSI and ISO biometric standards support.
• Multiplatform, scalable architecture for parallel matching.
• Effective price/performance ratio, flexible licensing and free customer support.

• National-Scale ID Projects
• Voter Registration
• Digital Identification and Certification System
• Criminal and Forensic AFIS
• Law Enforcement and Defense Sector
• Border Control, National Security and Passport Issuance
• Time and Attendance Control
• Electronic Medical Records Access Control
• Contract Labour Identity Management

MegaMatcher technology has received numerous awards and compliancy certifications from government and science authorities.

MINEX evaluations by NIST

• MINEX III evaluation was successfully passed in 2015. In 2017 MegaMatcher SDK fingerprint technology has been ranked as the first most interoperable matcher and the fourth most accurate native template matcher vendor among all MINEX III compliant matchers.
• MINEX Ongoing evaluation was successfully passed in 2014. The second place in the Ongoing MINEX ranking for fingerprint matching algorithms was achieved. MegaMatcher technology was recognized by the NIST as fully MINEX compliant.

FpVTE (Fingerprint Vendor Technology Evaluations) by NIST

• FpVTE 2012– in 2015 NIST recognized Neurotechnology’s fingerprint identification algorithm as one of the fastest and most accurate among the evaluation’s participants.
• FpVTE 2003– one of the best reliability results in the Middle Scale Test were shown. Neurotechnology participated in FpVTE 2003 under the name Neurotechnologija.

FIVE (Face in Video Evaluation)

In 2015 Neurotechnology face recognition engine to the NIST Face in Video Evaluation (FIVE). In average the submitted algorithm was ranked among top 8 most accurate face recognition algorithms out of 16 vendors.

IREX IV and IREX III by NIST

• IREX IV– in 2013 Neurotechnology’s iris recognition algorithm has been judged the by the NIST as one of the fastest and most accurate among the participants.
• IREX III– in 2012 MegaMatcher iris matching algorithm was the second fastest and provided 3 times higher recognition accuracy than the only fas ter contender.

WSQ 3.1 Certification by the FBI

In 2011 FBI certified Neurotechnology’s implementation of WSQ image format support.

MegaMatcher SDK is intended for large-scale AFIS / ABIS projects and includes specialized components and biometric engines for biometric data capture, template extraction and matching. Some of the components are designed to provide high performance during large number of requests and/or large databases with millions of biometric templates, whereas others provide easy deployment on client sites for a reasonable price. Also, certain components are intended for building systems with lower performance requirements.
MegaMatcher SDK provides easy system scalability and allows to start a biometric system from one or two computers/servers system at the beginning, with further scaling up together with project capacity and speed requirements by using components with higher capabilities or adding more installations of the component connected to the same system.
These system architectures and components are usually used for specific projects:

Template creation on client-side and matching on server-side

Recommended for AFIS, border control, various ID issuing systems, such as passports, ID cards, voter registration

 

Template creation and matching on server side

Recommended for online banking, government e-services and other mass scale systems, in which requests can be submitted by any device or computer.

 

Deduplication after all users data collected

Recommended for ID issuing systems, which have previously collected biometric data, such as voter or population registry cleaning.

Template creation and matching on the same computer or device

Recommended for stand-alone deployments like desktop or mobile, civil or forensic identification system.

 

A combination of the mentioned architectures and components can be also used within a large-scale biometric system to reach optimal performance and/or availability.
MegaMatcher Automated Biometric Identification System, an integrated multi-biometric solution for national-scale identification projects, can be also considered. The solution can be customized by Neurotechnology for specific project needs.

Template matching components performance and scalability

		Fingerprints	Faces	Irises
Matching Server with Matcher engines	Database capacity	Unlimited	Unlimited	Unlimited
	Matching speed	40,000 fingerprints per second	40,000 faces per second	40,000 irises per second
Matching Server with Fast Matcher engines	Database capacity	Unlimited	Unlimited	Unlimited
	Matching speed	200,000 fingerprints per second	200,000 faces per second	200,000 irises per second
Cluster of MegaMatcher Accelerator 9.0 Development Edition with N units	Database capacity	N × 4,000,000 fingerprints	N × 1,000,000 faces	N × 5,000,000 irises
	Matching speed	N × 1,000,000 fingerprints per second	N × 1,000,000 faces per second	N × 1,000,000 irises per second
Cluster of MegaMatcher Accelerator 9.0 Standard with N units	Database capacity	N × 4,000,000 fingerprints	N × 1,000,000 faces	N × 5,000,000 irises
	Matching speed	N × 35,000,000 fingerprints per second	N × 35,000,000 faces per second	N × 70,000,000 irises per second
Cluster of MegaMatcher Accelerator 9.0 Extended with N units	Database capacity	N × 40,000,000 fingerprints	N × 10,000,000 faces	N × 50,000,000 irises
	Matching speed	N × 100,000,000 fingerprints per second	N × 100,000,000 faces per second	N × 200,000,000 irises per second

MegaMatcher SDK is designed for development of large-scale AFIS or multi-biometric identification products. Fingerprint, face, iris, voice and palm print recognition engines are included in MegaMatcher 9.0 SDK.MegaMatcher 9.0 SDK includes server-side software and a set of modules for developing client-side applications. .NET components are included for rapid development of client-side software. MegaMatcher 9.0 supports BioAPI 2.0. To ensure system compatibility with other software, WSQ component is available, as well as modules for conversion between MegaMatcher template and biometric standards.

MegaMatcher 9.0 is suitable not only for developing civil AFIS, but also for forensic AFIS applications, as it includes an API for latent fingerprint template editing. Latent fingerprint template editing is necessary in order to submit a latent fingerprint (for example, one taken from a crime scene) for the identification into AFIS. Also MegaMatcher is able to match rolled and flat fingerprints between themselves.

These types of MegaMatcher 9.0 SDK are available:

MegaMatcher 9.0 Standard SDK for developing a client/server based multi-biometric fingerprint-face-iris identification product. This SDK is suitable for network-based and web-based systems with database size ranging from several thousand records up to million records. The SDK includes ready-to-use server-side software and a set of components for developing client-side applications on Microsoft Windows, Android, iOS, Linux and Mac OS X.

MegaMatcher 9.0 Extended SDK for developing a large-scale network-based AFIS or multi-biometric identification product. The SDK includes all components of MegaMatcher 9.0 Standard SDK and MegaMatcher Accelerator software, which can be used for fault-tolerant scalable cluster software for fast parallel matching, processing high number of identification requests and handling databases with practically unlimited size. This SDK also allows to develop network-based and web-based systems.

 

There are specific requirements for running specific components on particular platforms.
Click on specific components to view the corresponding requirements.

System requirements for MegaMatcher client-side components for PC or Mac

• PC or Mac with x86 (32-bit) or x86-64 (64-bit) compatible processors.
  • 6 seconds are required to create a template with a single fingerprint, face, iris or voiceprint record using Intel Core 2 Q9400 processor running at 2.67 GHz. See the technical specifications for more details.
  • 4 seconds are required to create a template from a full palm print image on Intel Core i7-4771 processor running at 3.5 GHz.
  • SSE2 support is required. Processors that do not support SSE2 cannot run the MegaMatcher algorithm. Please check if a particular processor model supports SSE2 instruction set.
• At least 128 MB of free RAM should be available for the application.
• Free space on hard disk drive (HDD):
  • at least 1 GB required for the development.
  • 100 MB for client-side components deployment.
  • Additional space optionally would be required in these cases:
    • MegaMatcher does not require the original biometric data (such as fingerprint image or photo) to be stored for the matching; it is enough to use the templates. However, we would recommend to store this data on hard drive for the potential future usage.
    • Usually a database engine runs on back-end servers (on separate computer). However, DB engine can be installed together with MegaMatcher client-side components and Matching Server on the same computer for standalone applications. In this case more HDD space for biometric templates storage must be available. For example, 1 million users templates (each with 2 fingerprint records) stored using a relational database would require from 2 GB to 12 GB of free HDD space depending on configured template size.
  • Optionally, depending on biometric modalities and requirements:
    • A fingerprint scanner. MegaMatcher SDK includes support modules for more than 100 models of fingerprint scanners under Microsoft Windows, Linux and Mac OS X
    • A webcam or IP camera or any other camera (recommended frame size: 640 x 480 pixels) for face images capturing. MegaMatcher SDK includes support modules for a list of cameras. An IP camera shold support RTSP and stream video in H.264 or M-JPEG. Any other webcam or camera should provide DirectShow interface for Windows platform, GStreamer interface for Linux platform or QuickTime interface for Mac platform.
    • An iris camera (recommended image size: 640 x 480 pixels) for iris image capture. MegaMatcher SDK includes support modules for several iris cameras.
    • A microphone. Any microphone that is supported by the operating system can be used.
    • A palm print scanner.
    • A flatbed scanner for fingerprint or palm print data capturing from paper can be used. 500 ppi or 1000 ppi FBI certified scanners are recommended. Flatbed scanners are supported only under Microsoft Windows platform and should have TWAIN drivers.
    • Integrators can also write plug-ins to support their biometric capture devices using the plug-in framework provided with the Device Manager from the MegaMatcher SDK.
  • Network/LAN connection (TCP/IP) for communication with Matching Server or MegaMatcher Accelerator unit(s). MegaMatcher client-side components can be used without network if they are used only for data collection.
    Communication is not encrypted, therefore, if communication must be secured, we would recommend to use a dedicated network (not accessible outside the system) or a secured network (such as VPN; VPN must be configured using operating system or third party tools).
  • Linux specific requirements:
    • Linux 2.6 or newer kernel (32-bit or 64-bit) is required. Linux 3.0 or newer kernel is recommended. If a fingerprint scanner is required, note that some scanners have only 32-bit support modules and will work only from 32-bit applications.
    • glibc 2.13 or newer
    • GStreamer 1.2.2 or newer with gst-plugin-base and gst-plugin-good is required for face capture using camera/webcam or rtsp video. GStreamer 1.4.x or newer is recommended.
    • libgudev-1.0 164-3 or newer (for camera and/or microphone usage)
    • libasound 1.0.x or newer (for voice capture)
    • wxWidgets 3.0.0 or newer libs and dev packages (to build and run SDK samples and applications based on them)
    • Qt 4.8 or newer libs, dev and qmake packages (to build and run SDK samples and applications based on them)
    • GCC-4.4.x or newer (for application development)
    • GNU Make 3.81 or newer (for application development)
    • Sun Java 1.6 SDK or later (for application development with Java)
    • pkg-config-0.21 or newer (optional; only for Matching Server database support modules compilation)
  • Microsoft Windows specific requirements:
    • Microsoft Windows XP / Vista / 7 / 8 / 10, 32-bit or 64-bit. If a fingerprint scanner is required, note that some scanners have only 32-bit support modules and will work only from 32-bit applications.
    • Microsoft .NET framework 3.5 (for .NET components usage)
    • Microsoft Visual Studio 2008 SP1 or newer (for application development with C++ / C# / VB .NET)
    • Microsoft DirectX 9.0 or later (for face capture using camera/webcam)
    • Sun Java 1.6 SDK or later (for application development with Java)
  • Mac OS X specific requirements:
    • Mac OS X (version 10.7 or newer)
    • XCode 4.3 or newer (for application development)
    • GStreamer 1.2.2 or newer with gst-plugin-base and gst-plugin-good is required for face capture using camera/webcam or rtsp video. GStreamer 1.4.x or newer is recommended.
    • wxWidgets 3.0.0 or newer libs and dev packages (to build and run SDK samples and applications based on them)
    • Qt 4.8 or newer libs, dev and qmake packages (to build and run SDK samples and applications based on them)
    • GNU Make 3.81 or newer (to build samples and tutorials development)
    • Sun Java 1.6 SDK or later (for application development with Java)

1.1        Fingerprint Components	1.2        Face Components	1.3        Iris Components	1.4        Voice Components	1.5        Palmprint Components
Fingerprint Matcher Embedded Fingerprint Matcher Fast Fingerprint Matcher Fingerprint Client Embedded Fingerprint Client Fingerprint Extractor Embedded Fingerprint Extractor Fast Fingerprint Extractor Fingerprint Capturer Embedded Fingerprint Capturer Fingerprint Segmenter Fast Fingerprint Segmenter Fingerprint BSS Fingerprint WSQ	Face Verification component Face Matcher Embedded Face Matcher Fast Face Matcher Face Client  Embedded Face Client Face Extractor Embedded Face Extractor Fast Face Extractor Face Capturer Embedded Face Capturer  Face Token Image  Fast Face Token Image  Face BSS	Iris Matcher Embedded Iris Matcher Fast Iris Matcher Iris Client Embedded Iris Client  Iris Extractor  Embedded Iris Extractor  Fast Iris Extractor  Iris Capturer  Embedded Iris Capturer Iris BSS	Voice Matcher Embedded Voice Matcher Voice Client Embedded Voice Client  Voice Extractor Embedded Voice Extractor Fast Voice Extractor  Voice Capturer Embedded Voice Capturer	Palm Print Matcher component  Palm Print Client component Technical specifications  Reliability tests

Fingerprint Scanners and Sensors

Scanner	Sensor technology
3M Cogent CSD 330	Optical
Abilma UNITY	Optical
ACS AET62	Capacitive
ACS AET65	Capacitive
ARH AFS 510	Optical
Athena ASEDrive IIIe Combo Bio F2	Capacitive
Atmel FingerChip sensor family	Thermal
BioLink U-Match MatchBook v.3.5	Optical
Biometrika Fx2000	Optical
Biometrika Fx2100	Optical
Biometrika Fx3000	Optical
Biometrika HiScan	Optical
Biometrika HiScan PRO	Optical
Credence ID Credence One	Capacitive
Credence ID Trident	Hybrid
Cross Match Guardian FW	Optical
Cross Match Guardian USB	Optical
Cross Match Guardian-F USB	Optical
Cross Match L Scan 500P	Optical
Cross Match Patrol	Optical
Cross Match Patrol ID	Optical
Cross Match Verifier 300 Classic	Optical
Cross Match Verifier 300 LC	Optical
Cross Match Verifier 300 LC 2.0	Optical
Cross Match Verifier 320 LC	Optical
DERMALOG F1	Optical
DERMALOG LF10	Optical
DERMALOG ZF1	Optical
Digent FD1000	Optical
DigitalPersona EikonTouch 710	Capacitive
DigitalPersona U.are.U 2000	Optical
DigitalPersona U.are.U 4000 Module	Optical
DigitalPersona U.are.U 4000 scanner	Optical
DigitalPersona U.are.U 4500 scanner	Optical
DigitalPersona U.are.U 5100 Module	Optical
DigitalPersona U.are.U 5100 Reader	Optical
DigitalPersona U.are.U 5160 Reader	Optical
DigitalPersona U.are.U 5200 Module	Optical
DigitalPersona (UPEK) Eikon Solo	Capacitive
DigitalPersona (UPEK) EikonTouch 300	Capacitive
DigitalPersona (UPEK) EikonTouch 500	Capacitive
DigitalPersona (UPEK) EikonTouch 700	Capacitive
Fujitsu MBF200	Capacitive
Fulcrum Biometrics mobileOne QuickDock	Optical
Futronic eFAM (FS84)	Optical
Futronic FS10	Optical
Futronic FS26	Optical
Futronic FS28	Optical
Futronic FS50	Optical
Futronic FS60	Optical
Futronic FS64	Optical
Futronic FS80	Optical
Futronic FS80H	Optical
Futronic FS82	Optical
Futronic FS88	Optical
Futronic FS88H	Optical
Futronic FS90	Optical
Green Bit DactyID20	Optical
Green Bit DactyScan40i	Optical
Green Bit DactyScan84c	Optical
Green Bit DactyScan84n	Optical
Green Bit MultiScan527	Optical
HFSecurity HF-4000	Optical
HFSecurity HF-7000	Capacitive
Hongda S500	Optical
Hongda S680	Optical
Hongda S700	Optical
id3 Certis Image	Thermal
Intech SOP1	Optical
Integrated Biometrics Columbo	Hybrid
Integrated Biometrics Curve	Hybrid
Integrated Biometrics Kojak	Hybrid
Integrated Biometrics LES650	Hybrid
Integrated Biometrics Sherlock	Hybrid
Integrated Biometrics Watson	Hybrid
Integrated Biometrics Watson Mini	Hybrid
Jstac Athena 210	Optical
Koehlke KIA-UM01	Optical
Koehlke KIAU-5110B3	Optical
L-1 DFR 2080	Optical
L-1 DFR 2090	Optical
L-1 DFR 2100	Optical
L-1 DFR 2300	Optical
LighTuning Technology LTT-C500	Capacitive
Lumidigm Mercury Series sensors	Optical
Lumidigm Venus V300 OEM module	Optical
Lumidigm Venus V302 reader	Optical
Miaxis FPR620	Optical
Miaxis SM-201 Bluetooth	Capacitive
Miaxis SM-201 Wi-Fi	Capacitive
Miaxis SM-2BU	Capacitive
NeuBio MARS 02	Optical
NEXT Biometrics NB-3010-U	Thermal
NITGEN eNBioScan-C1	Optical
NITGEN eNBioScan-D plus	Optical
NITGEN eNBioScan-F	Optical
NITGEN Fingkey Hamster	Optical
NITGEN Fingkey Hamster II	Optical
NITGEN Fingkey Mouse III	Optical
SecuGen Hamster III	Optical
SecuGen Hamster IV	Optical
SecuGen Hamster Plus	Optical
SecuGen Hamster Pro	Optical
SecuGen Hamster Pro 20	Optical
SecuGen Hamster Pro Duo CL	Optical
SecuGen Hamster Pro Duo SC/PIV	Optical
SecuGen iD-USB SC	Optical
SecuGen iD-USB SC/PIV	Optical
Shanghai Fingertech BIOCA-111	Optical
SMUFS Biometric SMUFS BT	Capacitive
Startek FC320U	Optical
Startek FM220U	Optical
Startek FPC360U	Capacitive
Suprema BioMini	Optical
Suprema BioMini Plus	Optical
Suprema BioMini Plus2	Optical
Suprema BioMini SFU-S20	Optical
Suprema BioMini Slim	Optical
Suprema RealScan G1	Optical
Suprema RealScan-10	Optical
Suprema RealScan-D	Optical
Suprema RealScan-F	Optical
Suprema RealScan-G10	Optical
Suprema RealScan-G10F	Optical
Suprema RealScan-S	Optical
Suprema SFR300-S	Optical
Suprema SFU300	Optical
Tacoma CMOS	Optical
TazTag TazPad	Capacitive
TENBIO TOUCH ONE	Optical
Testech Bio-i CYTE	Hybrid
TopLink Pacific BLUEFiN	Capacitive
TST Biometrics BiRD 3	Optical
UnionCommunity ViRDI FOH02SC	Optical
UPEK Eikon	Capacitive
UPEK Eikon To Go	Capacitive
UPEK TouchChip TCRU1C	Capacitive
UPEK TouchChip TCRU2C	Capacitive
ZKS Group ZKS-1000	Optical
ZKSoftware ZK4000	Optical
ZKSoftware ZK4500	Optical
ZKSoftware ZK6000	Optical
ZKSoftware ZK7000	Optical
ZKSoftware ZK8000	Optical
Zvetco Verifi P5100	Capacitive

Supported face capture cameras

These cameras are supported by MegaMatcher SDK:

• Any webcam or camera that is accessible using:
  • DirectShow interface for Microsoft Windows platform.
  • GStreamer interface for Linux platform.
  • QuickTime interface for Mac platform.
• Any built-in smartphone or tablet camera that is supported by iOS or Android OS. The camera should have at least 0.3 MegaPixel (640 x 480 pixels) resolution.
• Any IP camera, that supports RTSP (Real Time Streaming Protocol):
  • Only RTP over UDP is supported.
  • VLC framework can be optionally used for reading video streams.
  • 264/MPEG-4 AVCor Motion JPEG should be used for encoding the video stream.
• These models of still cameras are supported:
  • Canon EOS family still cameras (Microsoft Windows only)
  • Nikon DSLR still cameras (Microsoft Windows only; a specific camera model should support video capture and should be listed there)
• These specific models of high-resolution IP cameras are supported:
  • Axis M1114 camera (Microsoft Windows and Linux)
  • Basler BIP2-1600-25c-DN IP camera (Microsoft Windows and Linux)
  • Cisco 4500 IP camera (Microsoft Windows only)
  • IrisGuard IG-AD100– face & iris camera (Microsoft Windows only)
  • Mobotix S14D and DualNight M12 IP cameras (Microsoft Windows and Linux)
  • PiXORD N606 camera (Microsoft Windows and Linux)
  • Prosilica GigE Vision camera (Microsoft Windows and Linux)
  • Sony SNC-CS50 camera (Microsoft Windows and Linux)
  • VistaFA2/ VistaFA2E / VistaEY2 face & iris cameras (Microsoft Windows only)
• Integrators can also write plug-ins to support their cameras using the plug-in framework provided with the Device Manager from the MegaMatcher SDK.

Simultaneous capture from multiple cameras is possible.

A video file can be also used as a data source for applications based on MegaMatcher SDK.

Technical Specifications

All biometric templates should be loaded into RAM before identification, thus the maximum biometric templates database size is limited by the amount of available RAM.

• Fingerprint scanners are recommended to have at least 500 ppi resolution and at least 1″ x 1″fingerprint sensors. The specifications are provided for 500 x 500 pixels fingerprint images and templates extracted from these images.
• The minimal distance between eyes is 32 pixels for a face on image or video stream to perform face template extraction reliably. 64 pixels or more recommended for better template extraction results.
• Face recognition engine has certain tolerance to face posture:
  • head roll (tilt) – ±180 degrees (configurable);
    ±15 degrees default value is the fastest setting which is usually sufficient for most near-frontal face images.
  • head pitch (nod) – ±15 degrees from frontal position.
  • head yaw (bobble) – ±45 degrees from frontal position.
    ±15 degrees default value is the fastest setting which is usually sufficient for most near-frontal face images.

The specifications are provided for the default roll and yaw values.

• Iris capture cameras are recommended to produce at least640 x 480 pixels  The specifications are provided for these images.
• Voice samples of at least 2-seconds in length are recommended to assure speaker recognition quality.
• A minimum 11025 Hz sampling rate, with at least 16-bit depth, should be used during voice recording.

See also the lists of basic recommendations for facial recognition and speaker recognition.

MegaMatcher biometric template extraction and matching algorithm is designed to run on multi-core processors allowing to reach maximum possible performance on the used hardware.

MegaMatcher 9.0 fingerprint engine specifications
	Embedded / mobile (1) platform		PC-based (2) platform		Server platform
Template extraction components	Embedded Fingerprint Extractor	Embedded Fingerprint Client	Fingerprint Extractor	Fingerprint Client	Fast Fingerprint Extractor(3)
Template extraction speed (fingerprints per minute)	45	50	45	100	3,000
Template matching components	Embedded Fingerprint Matcher		Fingerprint Matcher		Fast Fingerprint Matcher(4)
Template matching speed (fingerprints per second)	3,000		40,000		200,000
Single fingerprint record size in a template (5) (bytes)	700 – 6,000 (configurable)

 

MegaMatcher 9.0 face engine specifications
	Embedded / mobile (1) platform		PC-based (2) platform		Server platform
Template extraction components	Embedded Face Extractor	Embedded Face Client	Face Extractor	Face Client	Fast Face Extractor(6)
Template extraction speed (faces per minute)	45	50	45	100	3,000
Template matching components	Embedded Face Matcher		Face Matcher		Fast Face Matcher(4)
Template matching speed (faces per second)	3,000		40,000		200,000
Single face record size in a template (5) (bytes)	4,028 or 5,066 or 7,128 (configurable)

 

MegaMatcher 9.0 iris engine specifications
	Embedded / mobile (1) platform		PC-based (2) platform		Server platform
Template extraction components	Embedded Iris Extractor	Embedded Iris Client	Iris Extractor	Iris Client	Fast Iris Extractor(6)
Template extraction speed (irises per minute)	45	50	45	100	3,000
Template matching components	Embedded Iris Matcher		Iris Matcher		Fast Iris Matcher(4)
Template matching speed (irises per second)	3,000		40,000		200,000
Single iris record size in a template (5) (bytes)	2,348

 

MegaMatcher 9.0 voiceprint engine specifications
	Embedded / mobile (1) platform		PC-based platform		Server platform
Template extraction components	Embedded Voice Extractor	Embedded Voice Client	Voice Extractor(2)	Voice Client(2)	Fast Voice Extractor(6)
Template extraction speed (voiceprints per minute)	45	50	45	100	3,000
Template matching components	Embedded Voice Matcher		Voice Matcher(4)
Template matching speed (voiceprints per second)	100		8,000
Single voiceprint record size in a template (5) (7) (bytes)	3,500 – 4,500

Notes:
(1) Requires to be run on iOS devices or Android devices based on at least Snapdragon S4 system-on-chip with Krait 300 processor (4 cores, 1.51 GHz).
(2) Requires to be run on PC or laptop with at least Intel Core 2 Q9400 quad-core processor (2.67 GHz) to reach the specified performance.
(3) Requires to be run on server hardware with at least Dual Intel Xeon processors E5-2680V2 (2.8 GHz) to reach the specified performance.
(4) Requires to be run on PC with at least Intel Core i7-4771 quad-core processor (3.5 GHz) to reach the specified performance.
(5) MegaMatcher 9.0 allows to store multiple biometric records of the same or different biometric modalities in a template; in this case the template size is the sum of all included biometric records.
(6) Requires to be run on server hardware with at least Intel Xeon E5-2680V2 processor (2.8 GHz) to reach the specified performance.
(7) The specifications are provided for 5-second long voice samples; template size has linear dependence from voice sample length.

Licensing Model for MegaMatcher

For MegaMatcher Accelerator, please see Licensing MegaMatcher Accelerator.
The following licensing model is intended for end-user product developers. Integrators who want to develop and sell a MegaMatcher-based development tool (with API, programming possibilities, programming samples, etc.), must obtain permission from Neurotechnology and sign a special VAR agreement.

Product Development

An integrator should obtain either a MegaMatcher 9.0 Standard SDK (EUR 2,590) or MegaMatcher 9.0 Extended SDK (EUR 4,990) to develop a product based on MegaMatcher technology. The SDK needs to be purchased just once and may be used by all the developers within the integrator’s company.

MegaMatcher SDKs include a number of components; each particular component has specific functionality. A license for an individual MegaMatcher component is required for each computer or device that run the component.See Product Advisor and high productivity system architecture to find out what specific components will be needed for your system.

 

MegaMatcher SDK components and licenses
Component types	MegaMatcher 9.0 Standard SDK	MegaMatcher 9.0 Extended SDK
Fingerprint component licenses included with a specific SDK:
• Fingerprint Matcher	1 single comp. license	1 single comp. license
• Embedded Fingerprint Matcher for Android	1 single comp. license	1 single comp. license
• Embedded Fingerprint Matcher for iOS	1 single comp. license	1 single comp. license
• Embedded Fingerprint Matcher for ARM Linux	1 single comp. license	1 single comp. license
• Fast Fingerprint Matcher	1 single comp. license	1 single comp. license
• Fingerprint Client (1)	3 single comp. licenses	3 single comp. licenses
• Embedded Fingerprint Client for Android	3 single comp. licenses	3 single comp. licenses
• Embedded Fingerprint Client for iOS	3 single comp. licenses	3 single comp. licenses
• Embedded Fingerprint Client for ARM Linux	3 single comp. licenses	3 single comp. licenses
• Fingerprint Extractor	1 single comp. license	1 single comp. license
• Embedded Fingerprint Extractor for Android	1 single comp. license	1 single comp. license
• Embedded Fingerprint Extractor for iOS	1 single comp. license	1 single comp. license
• Embedded Fingerprint Extractor for ARM Linux	1 single comp. license	1 single comp. license
• Fast Fingerprint Extractor	1 single comp. license	1 single comp. license
• Fast Fingerprint Segmenter	1 single comp. license	1 single comp. license
• Fingerprint Capturer	3 single comp. licenses	3 single comp. licenses
• Embedded Fingerprint Capturer for Android	3 single comp. licenses	3 single comp. licenses
• Embedded Fingerprint Capturer for iOS	3 single comp. licenses	3 single comp. licenses
• Embedded Fingerprint Capturer for ARM Linux	3 single comp. licenses	3 single comp. licenses
Face component licenses included with a specific SDK:
• Face Verification component	1 single comp. license	1 single comp. license
• Face Matcher	1 single comp. license	1 single comp. license
• Embedded Face Matcher for Android	1 single comp. license	1 single comp. license
• Embedded Face Matcher for iOS	1 single comp. license	1 single comp. license
• Embedded Face Matcher for ARM Linux	1 single comp. license	1 single comp. license
• Fast Face Matcher	1 single comp. license	1 single comp. license
• Face Client (2)	3 single comp. licenses	3 single comp. licenses
• Embedded Face Client for Android	3 single comp. licenses	3 single comp. licenses
• Embedded Face Client for iOS	3 single comp. licenses	3 single comp. licenses
• Embedded Face Client for ARM Linux	3 single comp. licenses	3 single comp. licenses
• Fast Face Extractor	1 single comp. license	1 single comp. license
• Face Extractor	1 single comp. license	1 single comp. license
• Embedded Face Extractor for Android	1 single comp. license	1 single comp. license
• Embedded Face Extractor for iOS	1 single comp. license	1 single comp. license
• Embedded Face Extractor for ARM Linux	1 single comp. license	1 single comp. license
• Fast Face Token Image	1 single comp. license	1 single comp. license
• Face Capturer	3 single comp. licenses	3 single comp. licenses
• Embedded Face Capturer for Android	3 single comp. licenses	3 single comp. licenses
• Embedded Face Capturer for iOS	3 single comp. licenses	3 single comp. licenses
• Embedded Face Capturer for ARM Linux	3 single comp. licenses	3 single comp. licenses
Voice component licenses included with a specific SDK:
• Voice Matcher	1 single comp. license	1 single comp. license
• Embedded Voice Matcher for Android	1 single comp. license	1 single comp. license
• Embedded Voice Matcher for iOS	1 single comp. license	1 single comp. license
• Embedded Voice Matcher for ARM Linux	1 single comp. license	1 single comp. license
• Voice Client (3)	3 single comp. licenses	3 single comp. licenses
• Embedded Voice Client for Android	3 single comp. licenses	3 single comp. licenses
• Embedded Voice Client for iOS	3 single comp. licenses	3 single comp. licenses
• Embedded Voice Client for ARM Linux	3 single comp. licenses	3 single comp. licenses
• Fast Voice Extractor	1 single comp. license	1 single comp. license
• Voice Extractor	1 single comp. license	1 single comp. license
• Embedded Voice Extractor for Android	1 single comp. license	1 single comp. license
• Embedded Voice Extractor for iOS	1 single comp. license	1 single comp. license
• Embedded Voice Extractor for ARM Linux	1 single comp. license	1 single comp. license
• Voice Capturer	3 single comp. licenses	3 single comp. licenses
• Embedded Voice Capturer for Android	3 single comp. licenses	3 single comp. licenses
• Embedded Voice Capturer for iOS	3 single comp. licenses	3 single comp. licenses
• Embedded Voice Capturer for ARM Linux	3 single comp. licenses	3 single comp. licenses
Iris component licenses included with a specific SDK:
• Iris Matcher	1 single comp. license	1 single comp. license
• Embedded Iris Matcher for Android	1 single comp. license	1 single comp. license
• Embedded Iris Matcher for iOS	1 single comp. license	1 single comp. license
• Embedded Iris Matcher for ARM Linux	1 single comp. license	1 single comp. license
• Fast Iris Matcher	1 single comp. license	1 single comp. license
• Iris Client (4)	3 single comp. licenses	3 single comp. licenses
• Embedded Iris Client for Android	3 single comp. licenses	3 single comp. licenses
• Embedded Iris Client for iOS	3 single comp. licenses	3 single comp. licenses
• Embedded Iris Client for ARM Linux	3 single comp. licenses	3 single comp. licenses
• Fast Iris Extractor	1 single comp. license	1 single comp. license
• Iris Extractor	1 single comp. license	1 single comp. license
• Embedded Iris Extractor for Android	1 single comp. license	1 single comp. license
• Embedded Iris Extractor for iOS	1 single comp. license	1 single comp. license
• Embedded Iris Extractor for ARM Linux	1 single comp. license	1 single comp. license
• Iris Capturer	3 single comp. licenses	3 single comp. licenses
• Embedded Iris Capturer for Android	3 single comp. licenses	3 single comp. licenses
• Embedded Iris Capturer for iOS	3 single comp. licenses	3 single comp. licenses
• Embedded Iris Capturer for ARM Linux	3 single comp. licenses	3 single comp. licenses
Palm print component licenses included with a specific SDK:
• Palm Print Matcher	1 single comp. license	1 single comp. license
• Palm Print Client	1 single comp. license	1 single comp. license
Server-side matching component licenses included with a specific SDK:
• Matching Server	+	+
• MegaMatcher Accelerator 9.0 Development Edition fingerprint, face and iris engines license		1 single comp. license

Notes:
(1) Fingerprint Client component includes Fingerprint Extractor, Fingerprint Segmenter, Fingerprint BSS and Fingerprint WSQ components, which can be also obtained separately.
(2) Face Client component includes Face Extractor, Face Token Image and Face BSS components, which can be also obtained separately.
(3) Voice Client component includes Voice Extractor component, which can be also obtained separately.
(4) Iris Client component includes Iris Extractor and Iris BSS components, which can be also obtained separately.
Components are copy-protected – a license is required for a component to run. License activation options are listed below on this page.
Additional component licenses may be obtained by MegaMatcher 9.0 SDK customers as required by their development process.

Product Deployment

To deploy a product developed with MegaMatcher 9.0 SDK, an integrator need obtain only the additional licenses required for the particular MegaMatcher 9.0 components that will run on each computer or device belonging to their customers. The available MegaMatcher components and license types for product deployment are the same as for product development.See Product Advisor and high productivity system architecture to find out what specific components will be needed for the deployment of your system.Each MegaMatcher component running on a computer belonging to the integrator’s customer requires a license. License activation options are listed below on this page.
Prices for MegaMatcher 9.0 SDK and additional MegaMatcher component licenses can be found here

Licensing Agreement

The Licensing Agreement contains all licensing terms and conditions.Note that you unambiguously accept this agreement by placing an order using Neurotechnology online ordering service or by email or other means of communications. Please read the agreement before making an order.

Single computer licenses

A single computer license allows the installation and running of a MegaMatcher component installation on one computer or device. Neurotechnology provides a way to renew the license if the computer undergoes changes due to technical maintenance.
Each single computer license requires activation for a MegaMatcher component to run. The available activation options are listed below on this page.
Additional single computer licenses for MegaMatcher components may be obtained at any time by MegaMatcher SDK customers.

License activation options

Single computer licenses are supplied in three ways:

• Serial numbersare used to activate licenses for particular MegaMatcher components. The activation is done via the Internet or by email. After activation the network connection is not required for single computer license usage.
  Notes:
  1. Activation by serial number isnot suitable for iOS and ARM-Linux
  2. Activation by serial number isnot suitable for virtual environments.
• Internet activation.A special license file is stored on a computer or a mobile/embedded device; the license file allows to run particular MegaMatcher components on that computer or device after checking the license over the Internet. Internet connection should be available periodically for a short amount of time. A single computer license can be transferred to another computer or device by moving the license file there and waiting until the previous activation expires.
• Licenses may be stored in a volume license manager dongle. License activation using volume license manager may be performed without connection to the Internet and is suitable for virtual environments.

Volume license manager

Volume license manager is used on site by integrators or end users to manage licenses for MegaMatcher components. It consists of license management software and a dongle, used to store the purchased licenses. An integrator or an end-user may use the volume license manager in the following ways:

• Activating single computer licenses– An installation license for a MegaMatcher component will be activated for use on a particular computer. The number of available licenses in the license manager will be decreased by the number of activated licenses.
• Managing single computer licenses via a LAN or the Internet– The license manager allows the management of installation licenses for MegaMatcher components across multiple computers or mobile/embedded devices in a LAN or over the Internet. The number of managed licenses is limited by the number of licenses in the license manager. No license activation is required and the license quantity is not decreased. Once issued, the license is assigned to a specific computer or device on the network.
• Using license manager as a dongle– A volume license manager containing at least one license for a MegaMatcher component may be used as a dongle, allowing the MegaMatcher component to run on the particular computer where the dongle is attached.

Additional MegaMatcher component licenses for the license manager may be purchased at any time. Neurotechnology will generate an update code and send it to you. Simply enter the code into the license manager to add the purchased licenses.

Disaster recovery licenses

Disaster recovery licenses for MegaMatcher server-side components are intended for using in disaster recovery centers (DRC). A DRC is a location which has the same equipment as the primary site, completely mirrors the data environment of the primary site and is on standby while the primary site is working. If the primary site fails, the DRC takes over operations.Licenses for these MegaMatcher server-side components are available for disaster recovery centers with 40 % discount:

Enterprise license

The MegaMatcher enterprise license allows an unlimited use of MegaMatcher components in end-user products for a specific territory, market segment or project. Specific restrictions would be included in the licensing agreement.
The enterprise license price depends on the application size and the number of potential users of the application within the designated territory, market segment or project.
For more information please contact us.

Licensing old MegaMatcher versions – 3.0 / 3.1

Existing MegaMatcher customers may also use the license management options provided for their version of MegaMatcher SDK. See MegaMatcher 3.0 / 3.1 SDK license management reference for more information.

• MegaMatcher Automated Biometric Identification System (ABIS)– an integrated multi-biometric solution for national-scale identification projects.
• MegaMatcher Accelerator 9.0– a software/hardware solution for building the server-side of a large-scale AFIS or multi-biometric system; available in Standard and Extended versions; a single MegaMatcher Accelerator Standard matches 35 million fingerprints per second or 70 million irises per second or 35 million faces per second, and the Extended matches 100 million fingerprints per second or 200 million irises per second or 100 million faces per second.
• MegaMatcher On Card SDK– a product for fingerprint, iris and face matching on smart cards.
• FingerCell SDK– for integrating fingerprint recognition into embedded platforms, like low-power, low-memory microcontrollers.
• Single biometrics SDKs for stand-alone and Web-based solutions:
  • VeriFinger SDK– for fingerprint identification systems.
  • VeriLook SDK– for facial identification systems.
  • VeriEye SDK– for iris identification systems.
  • VeriSpeak SDK– for speaker identification systems.