Technical Specifications
MegaMatcher On Card 13.1 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 13.1 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.
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Fingerprint engine specific:
- 500 ppi is 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.
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Face engine specific:
- 32 pixels is 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. Note that this distance should be native, not achieved by resizing an image.
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MegaMatcher On Card face extraction engine has certain tolerance to face posture that assures face detection:
- head roll (tilt) – ±30 degrees from frontal position.
- head pitch (nod) – ±30 degrees from frontal position.
- head yaw (bobble) – ±30 degrees from frontal position.
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Iris engine specific:
- 640 x 480 pixels is the minimum image size for iris capture with 64 pixels minimal radius of circle containing full iris texture.
- ±15 degrees is the default verified iris rotation tolerance; this value can be extended on demand.
- Near-infrared spectral 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.
| MegaMatcher On Card 13.1 memory requirements for native level integration (maximized accuracy configuration) |
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|---|---|---|---|
| Code size (kilobytes) | Required RAM (bytes) | Template size (bytes) | |
| Fingerprint verification engine | 6.1 - 11.0 | 960 - 2,200 (1) | 660 - 2,100 (1) |
| Face verification engine | Not implemented | ||
| Iris verification engine | |||
| Multi-modal verification engines | |||
(1) Depends on the configurable maximal number of minutiae.
| MegaMatcher On Card 13.1 memory requirements for Java Card post-issuance libraries (maximized speed configuration) | |||
|---|---|---|---|
| Code size (kilobytes) | Required RAM (bytes) | Template size (bytes) (4) | |
| Fingerprint verification engine | less than 13.4 | less than 1610 (1) | less than 1750 (1) |
| Face verification engine | less than 8.3 | less than 310 | less than 1250 (2) |
| Iris verification engine | less than 10.7 | less than 650 | less than 1350 (3) |
| Bi-modal fingerprint + face verification engine | less than 17.4 | less than 1640 (1) (2) |
see specific modalities above |
| Bi-modal fingerprint + iris verification engine | less than 20.0 | less than 1640 (1) (3) |
see specific modalities above |
| Bi-modal face + iris verification engine | less than 15.0 | less than 710 (2) (3) |
see specific modalities above |
| Tri-modal verification engine | less than 24.1 | less than 1700 (1) (2) (3) |
see specific modalities above |
(1) Depends on the configurable maximal number of minutiae. The numbers are provided for default template sizes.
(2) Using faces 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.
