$5,527.92
Large-scale AFIS and multi-biometric identification
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.
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.
Recommended for AFIS, border control, various ID issuing systems, such as passports, ID cards, voter registration
Recommended for online banking, government e-services and other mass scale systems, in which requests can be submitted by any device or computer.
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.
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.
The processors shouls support SSE2. Processors that do not support SSE2 cannot run the MegaMatcher algorithm. Please check if a particular processor model supports SSE2 instruction set.
The fastest option is memory DB but it does not support relational queries, therefore the recommended option is SQLite, as it requires less resources than other options but provides enough functionality.
1.1 Fingerprint Components |
1.2 Face Components |
1.3 Iris Components |
1.4 Voice Components |
1.5 Palmprint Components |
Embedded Fingerprint Client Fingerprint Extractor Embedded Fingerprint Extractor
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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 |
These cameras are supported by 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.
The table below explains which eye iris scanners are supported by MegaMatcher SDK under different operating systems.We are always looking for scanners’ manufacturers to include the support for their iris scanners to our products. Please, contact us for more details.
Integrators or scanner manufacturers can also write plug-ins for the Device Manager from the MegaMatcher SDK to support their iris cameras using the provided plug-in framework. The SDK documentation contains more information about the plug-in framework.
Microsoft Windows XP / Vista / 7 / 8 |
Linux (32-bit only) |
Android | ||
32 bit | 64 bit | |||
• CMITech BMT-20 / EMX-30 | + | + | ||
• Credence ID Trident | +(2) | |||
• Cross Match I Scan 2 | + | +(1) | ||
• IrisGuard IG-AD100 | + | |||
• Iritech IriShield USB MK 2120U / IriShield-USB BK 2121U | + | + | + | + |
• Iritech IriMagic1000BK | + | |||
• UBKEY Mirrorkey Mirrorkem | + | |||
• VistaFA2 / VistaFA2E / VistaEY2 / VistaEY2-02 / VistaEY2R iris & face cameras | + | + | ||
• VistaEY2H iris camera | + | + |
Notes:
(1) Can be used on 64-bit OS, but only in 32-bit applications.
(2) The device has pre-installed Android OS.
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.
The specifications are provided for the default roll and yaw values.
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 |
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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 |
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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.
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.
Single computer licenses are supplied in three ways:
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:
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.
Speaker recognition for stand-alone or Web applications
Add to cartFace identification for stand-alone or Web applications
Add to cartFingerprint identification for embedded platforms
Add to cartA modular and customizable multi-biometric solution for national-scale projects.
Add to cartFingerprint identification for stand-alone or Web solutions
Add to cartNIST MINEX-compliant smart card multi-biometrics
Add to cartIris identification for stand-alone and Web solutions
Add to cart