MegaMatcher On Card SDK

Smart card multi-biometrics

Click Here to download the full MegaMatcher On Card SDK brochure as a .pdf document

MegaMatcher On Card SDK offers matching on card technology that stores person's fingerprint 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's processor. This method ensures that personal biometric information does not transfer to an external computer as it would in a more basic template-on-card system.

The MegaMatcher On Card 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.

Advantages of MegaMatcher On Card

• PC-like verification accuracy.
• Configurable verification modes.
• Multi-biometrics support.
• Security and privacy.
• ISO/IEC standards support.
• Easy integration.
• Different smart card platforms supported.

MegaMatcher On Card Technology and SDK

• MegaMatcher On Card 2.1 SDK Contents. The SDK includes 2 smart cards with preloaded fingerprint and face matching engines, 1 smart card with preloaded fingerprint matching engine, 2 Fingerprint Extractor and 2 Face Extractor components licenses. Programming samples and tutorials are also included … Read more
• Supported fingerprint scanners. More than 70 scanners are supported by MegaMatcher On Card 2.1 SDK. Fingerprint scanner support modules are available for Microsoft Windows (32 and 64 bit) and Linux (32 and 64 bit) and Mac OS X... Read more
• Supported face capture cameras. MegaMatcher On Card 2.1 SDK supports almost any camera or webcam; also a number of advanced cameras are supported… Read more
• Technical specifications. The native level fingerprint matching implementation requires less than 8 kilobytes for algorithm code, less than 1,700 bytes RAM for data and 1,300-1,700 bytes for template storage. The Java Card post-issuance library for fingerprint matching requires less than 13 kilobytes for algorithm code, less than 600 bytes RAM for data and less than 1 kilobyte for template storage … Read more
• Reliability & performance tests. The fingerprint matching algoritm was tested on a subset of SONATEQ Fingerprint Database SQ FDB1-75TS1. The face matching algorithm was tested on the ROC III subset of FRGC database … Read more
• System requirements and supported development environments. JavaCard 2.2.1 compatible smart cards required. The PC-side requires an x86 PC with enough RAM running under Microsoft Windows or Linux … Read more
• Download. MegaMatcher On Card SDK product brochure is available for download.

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Contents of MegaMatcher On Card SDK 

MegaMatcher On Card 2.1 SDK provides a number of advantages over a standard fingerprint/face identification system or similar products for smart cards, including:

• ISO/IEC standards support. MegaMatcher On Card 2.1 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. Implementing the system will not require major overhauls of existing infrastructure, as MegaMatcher On Card 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. The process of fingerprint and face enrollment during the card issuance, often connected to the avoidance of emission of duplicates, can also be developed with VeriFinger, VeriLook or MegaMatcher components that are fully compatible with MegaMatcher On Card. This provides the advantages of both using the whole set of features of Neurotechnology proprietary templates format to improve the accuracy of duplicates searching and the possibility to ensure the quality of the biometric data stored into the card.
• Cost effectiveness. A biometric system that uses matching on card can be developed including the fingerprint and face extractor components of MegaMatcher On Card. Those have most of the same algorithm functionalities of MegaMatcher, and they are specifically designed to produce the template formats used by the cards. This gives a cost-effective solution to both integrators who want to test MegaMatcher On Card technology without the necessity of purchasing any additional component, and to the ones who needs to replicate the client part of their matching on card based product on a relevant number of terminals, like the case of a Logon service.
• Different smart card platforms supported. MegaMatcher On Card can be integrated at each stage of the card life cycle for various smart cards platforms. The post-issuance library gives the possibility to integrate fast matching 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 matching on card solution and the possibility to maintain more EEPROM available for post-issuance applications.
• 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.

The table below lists the components of MegaMatcher On Card 2.1 SDK:

MegaMatcher On Card fingerprint matching engine

MegaMatcher On Card 2.1 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, and matches flat-rolled, flat-flat or rolled-rolled fingerprints.

MegaMatcher On Card face matching engine

MegaMatcher On Card 2.1 face matching engine performs face template matching in 1-to-1 mode (verification).

MegaMatcher On Card Fingerprint Extractor component

MegaMatcher On Card 2.1 Fingerprint Extractor creates ISO 19794-2 fingerprint templates from fingerprint images.

MegaMatcher On Card Face Extractor component

MegaMatcher On Card 2.1 Face 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.

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Supported fingerprint scanners under Microsoft Windows

The table below explains which scanners are supported by MegaMatcher SDK, MegaMatcher On Card SDK and VeriFinger SDK under certain versions of Microsoft Windows. (1) The list of supported OS is given only for fingerprint scanner part of the device; the device is also able to capture faces and irises.

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Supported Cameras and Webcams

These cameras are supported by MegaMatcher SDK, MegaMatcher On Card SDK and VeriLook SDK:

• Any webcam or camera that is accessible using:
  • DirectShow interface for Microsoft Windows platform.
  • Video4Linux interface for Linux platform.
  • QuickTime interface for Mac platform.
• Also these specific models of high-resolution cameras are supported:
  • Axis M1114 camera (Microsoft Windows only)
  • Cisco 4500 IP camera (Microsoft Windows and Linux)
  • IrisGuard IG-AD100 – face & iris camera (Microsoft Windows only)
  • Mobotix DualNight M12 IP camera (Microsoft Windows and Linux)
  • PiXORD N606 camera (Microsoft Windows and Linux)
  • Prosilica GigE Vision camera (Microsoft Windows and Linux)
  • VistaFA2 / VistaFA2E face & iris cameras (Microsoft Windows only)
  • VistaMT Multimodal Biometric Device (Microsoft Windows only)

Simultaneous capture from multiple cameras is possible.

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

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MegaMatcher On Card SDK System Requirements

System requirements for installation and usage of components on JavaCard

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

System requirements for PC components installation and usage

• PC with x86 (32bit) or x86-64 (64bit) compatible processors. 2GHz or better processor is recommended.
• 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 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 2.1 includes support modules for more than 70 fingerprint scanners and sensors under different platforms.
• Camera or webcam (optional) for face image capture. MegaMatcher On Card 2.1 supports several high resolution cameras. Any other camera or webcam is supported by MegaMatcher On Card if it provides DirectShow interface for Windows platform or Video4Linux interface for Linux platform.
• Microsoft Windows specific requirements:
  • Microsoft Windows 2000/XP/2003/2008/Vista/7, 32-bit or 64-bit. 32-bit platform is recommended for applications with fingerprint scanners, as most scanners have only 32-bit support modules.
  • Microsoft .NET framework 2.0 or newer (for .NET components usage).
  • One of the following development environments for application development:
    • Microsoft Visual Studio 2005 SP1 or newer (for application development under C/C++, C#, Visual Basic .Net)
    • Sun Java 1.5 SDK or later
    • Microsoft Visual Basic 6
    • Delphi 7
• Linux specific requirements:
  • Linux 2.6 or newer kernel, 32-bit or 64-bit. 32-bit platform are recommended for applications with fingerprint scanners, as most scanners have only 32-bit support modules.
  • glibc 2.3.6 or newer
  • GTK+ 2.10.x or newer libs and dev packages (to run SDK samples and applications based on them)
  • GCC-4.0.x or newer (for application development)
  • GNU Make 3.81 or newer (for application development)
  • Sun Java 1.5 SDK or later (for application development with Java)
  • PCSC-Lite 1.4.4 or newer
  • ccid-1.3.0 or newer

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Technical Specifications

MegaMatcher On Card 2.1 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 2.1 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.

• 500 dpi is the recommended fingerprint image resolution.
• 640 x 480 pixels is the recommended image size for face detection. 40 pixels is the minimal distance between the eyes for face detection.
• MegaMatcher On Card face extraction engine has certain tolerance to face posture that assures face detection:
  • head roll (tilt) – ±15 degrees from frontal position.
  • head pitch (nod) – ±15 degrees from frontal position.
  • head yaw (bobble) – ±15 degrees from frontal position.

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Reliability and Performance Test Results

MegaMatcher On Card 2.1 fingerprint and face matching algorithms were tested on smart cards from several vendors. The matching speeds are available below. Please contact us to get more information about the expectations on a specific platform on which you intend to use it. Back to top of this page