Megamatcher On Card 10.0 SDK based on MegaMatcher multi-biometric AFIS technology offers matching-on-card technology that stores a person’s fingerprint, iris and face templates on a smart card and performs template matching in a microprocessor embedded in the card, instead of matching biometric information on a PC processor, and thus avoiding transfer of information to an external entity. It provides a number of advantages over a standard fingerprint / face / iris identification system or similar products for smart cards.
Megamatcher On Card 10.0 SDK is developed utilizing a set of ISO/IEC standards to enable interoperability with and easy integration into existing smart card and/or biometric systems.
ON CARD MULTIBIOMETIC MATHCING ENGINE.fingerprint engine. MegaMatcher On Card algorithm for fi ngerprint matching on a smart card is compliant with the same NIST MINEX III criteria used to evaluate much more resource-intensive PC-based algorithms.

• NIST MINEX-compliant fingerprint engine

MegaMatcher On Card algorithm for fingerprint matching on a smart card is compliant with the same NIST MINEX III criteria used to evaluate much more resource-intensive PC-based algorithms.

• PC-like verification accuracy

MegaMatcher On Card provides the same level of accuracy of an AFIS (automated fingerprint identification system) in a verification process using ISO/IEC 19794-2 compact card minutiae format templates together with the security of storage of biometric templates and matching algorithm on a smart card. Face and iris modalities on-card verification precision conforms to the large scale multi-biometric MegaMatcher SDK accuracy rates of Neurotechnology’s compact format templates matching.

• Configurable verification modes

MegaMatcher On Card fingerprint algorithm has different performance configurations that can be chosen according to the operating scenario, the requirements to matching accuracy, the smart card platform speed and memory constraints.

• Security

Biometric verification can replace or be combined with less secure (e.g., PIN) authentication techniques to achieve higher security.

• Privacy

The original template remains on the smart card, providing a safeguard against misuse of information or fraudulent scanning systems.

• Multi-biometrics support

The face and iris matching engines can be used as an additional or alternative factor of authentication that enhances the fingerprint verification. Fingerprint, iris and face templates can be stored on a single card together with the fingerprint, iris and face matching algorithms.

• ISO/IEC standards support

MegaMatcher On Card 10.0 SDK is compliant with the following standards:

• ISO/IEC 7816-3
• ISO/IEC 7816-4
• ISO/IEC 7816-9
• ISO/IEC 7816-11
• ISO/IEC 19794-2 (compact size finger minutiae card format)

• Easy integration with existing systems

Megamatcher On Card 10.0 SDK is developed utilizing a set of ISO/IEC standards to enable interoperability with and easy integration into existing smart card and/or biometric systems. Can avoid emission of duplicates during biometric enrollment for card issuance with VeriFinger, VeriEye, VeriLook or MegaMatcher components that are fully compatible with MegaMatcher On Card. Customer benefitted by the chance of leveraging Neurotechnology proprietary templates format to improve the accuracy of duplicates searching and the surety of quality of the biometric data stored into the card.

• Different smart card platforms supported

Can be integrated at different stages of the card life cycle for various smart cards platforms. The post-issuance library gives the possibility to rapidly integrate match-on-card in projects where time constraints are critical. On the other hand, the possibility to store the code directly into the ROM mask and the partnership with several card vendors offer a faster match-on-card solution and the possibility to maintain more EEPROM available for post-issuance applications.

• NIST MINEX-compliant fingerprint engine
• PC-like verification accuracy
• Configurable verification modes
• Security and privacy
• Multi-biometrics support
• ISO/IEC standards support
• Easy integration with existing systems
• Different smart card platforms supported
• Interoperability
• Deduplication without compromising data fidelity or integrity

• National-Scale ID Projects
• Voter Registration
• Digital Identification and Certification System
• Border Control, National Security and Passport Issuance

The table below lists the components of MegaMatcher On Card 10.0 SDK:

MegaMatcher On Card fingerprint matching engine

MegaMatcher On Card 10.0 fingerprint matching engine performs fingerprint template matching in 1-to-1 mode (verification). Being based on the MegaMatcher technology, the engine is tolerant to fingerprint rotations, translations and deformations.

MegaMatcher On Card face matching engine

MegaMatcher On Card 10.0 face matching engine performs face template matching in 1-to-1 mode (verification).

MegaMatcher On Card iris matching engine

MegaMatcher On Card 10.0 iris matching engine performs iris template matching in 1-to-1 mode (verification).

Fingerprint Card Extractor component

Fingerprint Card Extractor creates ISO 19794-2 fingerprint templates from fingerprint images.

Face Card Extractor component

Face Card Extractor creates face templates in proprietary format from face images. The Extractor can generalize a face template from several face images to improve the template’s quality. The algorithm has also the ability to recognize whether a face in a video stream belongs to a real human or is a photo, in order to improve the overall security of the system.

Iris Card Extractor component

Iris Card Extractor creates iris templates in proprietary format from eye images.

Device Manager

Device Manager software allows to capture data from supported fingerprint readers, iris scanners, cameras and webcams. Integrators can also write plug-ins to support their fingerprint readers, cameras or other devices using the plug-in framework provided with the Device Manager.

JavaCard components
PC-side components
Android components
There are specific requirements for running specific components on particular platforms.
Click on specific components to view the corresponding requirements.

System requirements for installation and usage of components on JavaCard

• JavaCard 2.2.1/2.2.2 compatible smart card
• See thetechnical specifications for the required amount of free persistent EEPROM and RAM

System requirements for PC-side components installation and usage

• PCor Mac with x86 (32bit) or x86-64 (64bit) compatible processors. 2 GHz or better processor is recommended.
• At least128 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 required for MegaMatcher On Card PC side components deployment.
• Smart card reader.An ISO/IEC 7816 compliant smart card reader is required.
• Fingerprint scanner.MegaMatcher On Card 10.0 includes support modules for more than 80 fingerprint scanners and sensors under different platforms.
• Camera or webcam (optional)for face image capture. MegaMatcher On Card 10.0 supports a number of high resolution cameras. Any other camera or webcam is supported by MegaMatcher On Card if it provides DirectShow interface for Windows platform or GStreamer interface for Linux or Mac OS X platform.
• Iris camera (optional)for iris image capture. MegaMatcher On Card 10.0 includes support modules for several iris cameras.
• Microsoft Windows specific requirements:
  • Microsoft Windows XP / Vista / 7 / 8 / 10, 32-bit or 64-bit. 32-bit platform may be recommended for applications with fingerprint readers, as certain models have only 32-bit support modules.
  • Microsoft .NET framework 3.5 or newer (for .NET components usage).
  • One of the following development environments for application development:
    • Microsoft Visual Studio 2008 SP1 or newer (for application development under C/C++, C#, Visual Basic .NET)
    • Sun Java 1.6 SDK or later
  • Linux specific requirements:
    • Linux 2.6 or newer kernel (32-bit or 64-bit) is required. Linux 3.0 or newer kernel is recommended.
    • glibc 2.11.3 or newer
    • GStreamer 1.2.2 or newer with gst-plugin-base and gst-plugin-good (for face capture using camera/webcam or rtsp video)
    • libgudev-1.0 164-3 or newer (for camera usage)
    • GCC-4.0.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)
    • PCSC-Lite 1.4.4 or newer
    • ccid-1.3.0 or newer
  • 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 plugins (for RTSP support)
    • 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 1.7.0_72 (JDK 7u72) or later (for application development with Java)

System requirements for Android components installation and usage

• A smartphone or tablet that is runningAndroid 4.0 (API level 14) OS or newer.
  • API level 19 is the recommended target for code compilation.
  • If you have a custom Android-based device or development board,contact us to find out if it is supported.
• ARM-based5 GHz processor recommended for fast creation of fingerprint, face or iris compact template. Slower processors may be also used, but the processing of fingerprints, faces and irises will take longer time.
• At least30 MB of free RAM should be available for the application.
• Free storagespace (built-in flash or external memory card):
  • 30 MB required for MegaMatcher Android components deployment for each separate application.
  • Additional space may be required if an integrator would like to store original fingerprint, face or iris images. MegaMatcher On Card technology does not require the original fingerprint, face or iris images to be stored after capture.
• Optionally, depending on biometric modalities and requirements:
  • Afingerprint reader. MegaMatcher On Card is able to work with several supported fingerprint readers under Android  Integrators may also use image files or receive image data from external devices like flatbed scanners or other stand-alone cameras.
  • Acamera for face  MegaMatcher On Card is able to work with all cameras that are supported by Android OS. At least 0.3 MegaPixel (640 x 480 pixels) camera is required for the MegaMatcher On Card template extraction algorithm. Integrators may also use image files or receive image data from external devices like flatbed scanners or stand-alone cameras.
  • Aniris scanner. A project may require to capture iris images using some hand-held devices:
    • Iritech IriShield single iris camera is supported by the Megamatcher On Card 10.0 SDK under Android OS.
    • MegaMatcher On Card technology also accepts irises for further processing as BMP, JPG or PNG images, thus almost any third-party iris capturing hardware can be used with the MegaMatcher technology if it generates image in the mentioned formats.
    • Integrators may implement the iris scanner support by themselves or use the software provided by the scanners manufacturers. The integrators should note, that the most accurate iris recognition is achievable only when iris images are captured with near-infrared cameras and appropriate illumination. However, it is still possible to recognize irises with reasonable accuracy, when the irises are captured with cameras, which are built in smartphones or tablets, using proper illumination and focus, and choosing proper environment.
  • PC-side development environment requirements:
    • Java SE JDK 6 (or higher)
    • Eclipse Indigo (3.7) IDE
    • Android development environment (at least API level 14 required)
    • One of the following build automation systems:
      • Apache Maven 3.1.xor newer
      • Gradle 2.10or newer
    • Internet connection for activating MegaMatcher On Card component licenses

These fingerprint scanners and sensors are supported by our biometric products. Each device has 500 ppi resolution, unless a different resolution is mentioned in the Notes column.

Supported Face Capture Cameras

These cameras are supported by MegaMatcher On Card SDK:

• Anywebcam or camera that is accessible using:
  • DirectShowinterface for Microsoft Windows platform.
  • GStreamerinterface for Linux platform.
  • QuickTimeinterface for Mac platform.
• Any built-insmartphone or tablet camera that is supported by Android OS. The camera should have at least 0.3 MegaPixel (640 x 480 pixels) resolution.
• These advanced cameras are supported:
  • IrisGuard IG-AD100– face & iris camera (Microsoft Windows only)
  • VistaFA2/ VistaFA2E / VistaEY2 face & iris cameras (Microsoft Windows only)
• These models ofstill 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 listedthere)
• Avideo file can be also used as a data source for applications based on MegaMatcher On Card SDK.
• Integrators can also writeplug-ins to support their cameras using the plug-in framework provided with the Device Manager from the MegaMatcher On Card SDK.

Simultaneous capture from multiple cameras is possible.

High resolution cameras may be used with MegaMatcher On Card SDK, but more powerful technology like MegaMatcher SDK is recommended for acceptable performance. These cameras are supported:

• AnyIP camera, that supports RTSP (Real Time Streaming Protocol):
  • OnlyRTP over UDP is supported.
  • 264/MPEG-4 AVCor Motion JPEG should be used for encoding the video stream.
• These specific models of high-resolution 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)
  • 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)

MegaMatcher On Card 10.0 can be configured according to different requirements and smart card constraints, at both pure Java Card level and native code. The summary of average memory requirements is available below. The MegaMatcher On Card 10.0 template matching engines performance was tested for smart cards from several vendors; see the testing results for more information on matching speed for a particular card.

• Fingerprint engine specific:
  • 500 ppiis the recommended fingerprint image resolution.
  • Fingerprint scanners with scan area of up to 1.55″ x 1.45″ (39 x 37 mm; FAP10, FAP20, FAP30 scanners) are recommended.
• Face engine specific:
  • 32 pixelsis the minimal distance between eyes for a face on image or video stream to perform face template extraction reliably. 64 pixels or more recommended for better template extraction results.
  • MegaMatcher On Card face extraction engine has certain tolerance to face posture that assures face detection:
    • headroll (tilt) – ±15 degrees from frontal position.
    • headpitch (nod) – ±15 degrees from frontal position.
    • headyaw (bobble) – ±15 degrees from frontal position.
  • Iris engine specific:
    • 640 x 480 pixelsis the minimum image size for iris capture with 64 pixels minimal radius of circle containing full iris texture.
    • ±15 degreesis the default verified iris rotation tolerance; this value can be extended on demand.
    • Near-infraredspectral region is recommended for iris image capture.

Below are provided the memory requirements for the native level integration and Java Card post-issuance libraries. Note that the Java Card post-issuance libraries utilize Java level static RAM for internal matching engine routines, whereas the native level integrations temporary utilize RAM available at the native level while the internal routines run, thus consuming no static Java level RAM.

⁽¹⁾ Depends on the configurable maximal number of minutiae.

⁽¹⁾ Depends on the configurable maximal number of minutiae.
⁽²⁾ Using faces compact card template format.
⁽³⁾ Using irises compact card template format.
⁽⁴⁾ Specifies actual non-volatile memory consumption per appropriate biometric modality enrolled template including both public and private data of the card holder.

Product Development

An integrator should obtain a MegaMatcher On Card 10.0 SDK (EUR 439) to develop a end-user product based on MegaMatcher On Card technology. The SDK needs to be purchased just once and may be used for all projects and by all the developers within the integrator’s company.

These components are included with MegaMatcher On Card 10.0 SDK:

• PC-side components and licenses:
  • 2 single computer licenses for Fingerprint Card Extractor
  • 1 single computer license for Face Card Extractor
  • 1 single computer license for Iris Card Extractor
• Smart card-side components:
  • 2 smart cards with MegaMatcher On Card 10.0 fingerprint matching engine.
  • 1 smart card with MegaMatcher On Card 10.0 multi-modal fingerprint, face and iris matching engine.

Integrators can obtain additional PC-side component licenses if more component licenses are required for the development process.

Additional cards with installed fingerprint, iris and/or face matching component for the product development may be obtained at any time, according to stock and availability of suppliers.

Product Deployment

To deploy their developed products, an integrator need obtain the additional smart cards with fingerprint, iris and/or face matching engines and the licenses of components for every computer or device, where component will be installed together with integrator’s product. Integrators can purchase additional MegaMatcher On Card extractor component licenses if required at anytime.

Additional cards with installed fingerprint, iris and/or face matching component for the product deployment can be obtained at any time, according to stock and availability of suppliers.

License Activation Options

The components are copy-protected. The following license activation options are available:

• Serial numbersare used to activate licenses for particular MegaMatcher On Card components on particular computer or device. The activation is done via the Internet or by email. After activation the network connection is not required for single computer license usage.
  Note: activation by serial number is not 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 On Card 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.
• Volume License Manager.Licenses may be stored in a volume license manager dongle. The license activation may be performed without connection to the Internet and is suitable for virtual environments. Volume license manager is used on site by integrators or end usersto manage licenses for MegaMatcher On Card components in the following ways:
  • Activating single computer licenses– An installation license for a MegaMatcher On Card 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 On Card 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 On Card component may be used as a dongle, allowing the MegaMatcher On Card component to run on the particular computer where the dongle is attached.

Additional MegaMatcher On Card component licenses for the license manager may be purchased at any time.

Licenses Validity

All SDK and component licenses are perpetual and do not have expiration. There are no annual fee or any other fees except license purchasing fee. It is possible to move licenses from one computer or device to another. Neurotechnology provides a way to renew the license if the computer undergoes changes due to technical maintenance.

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.

For large projects that include more than 100,000 card licenses, MegaMatcher On Card 10.0 matching components are available with different forms of licensing. Please contact us for more information.

MegaMatcher Automated Biometric Identification System (ABIS)

• MegaMatcher Automated Biometric Identification System (ABIS)–An integrated multi-biometric solution for national-scale identification projects.
• MegaMatcher SDK– Intended for development of AFIS or multi-biometric fingerprint, face, iris and palm print identification products.
• FingerCell SDK–For integrating fingerpint recognition into embedded platforms, like low-power, low-memory microcontrollers.
• VeriFinger SDK– Intended for development of PC-based or Web-based fingerprint identification systems.
• VeriLook SDK– Intended for development of PC-based or Web-based face identification systems.
• VeriEye SDK– Intended for development of PC-based or Web-based iris identification systems.