MegaMatcher on Card SDK ^Sale

Smart card multi-biometrics

MegaMatcher On Card SDK 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.
The match-on-card method ensures that personal biometric information does not transfer to an external computer as it would in a more basic template-on-card system.

• 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

SDK Contents

The table below lists the components of MegaMatcher On Card 11.0 SDK:

MegaMatcher On Card fingerprint matching engine

MegaMatcher On Card 11.0 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 11.0 face matching engine performs face template matching in 1-to-1 mode (verification).

MegaMatcher On Card iris matching engine

MegaMatcher On Card 11.0 iris matching engine performs iris template matching in 1-to-1 mode (verification).

Fingerprint Card Extractor component

Fingerprint Card Extractor creates ISO/IEC 19794-2 on-card comparison format fingerprint templates from fingerprint images.

Face Card Extractor component

Face Card Extractor creates face templates in proprietary on-card comparison 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 on-card comparison 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.

Tech Specs

MegaMatcher On Card 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 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 ppi 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.
• 640 x 480 pixels is the minimum image size for iris capture. ±15 degrees is the default iris rotation tolerance; this value can be extended on demand.

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 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.