KeyLemonFaceSDK

Face Verification

KeyLemonFaceSDK can check a claimed face against a biometric model and tells if it is the expected person or an impostor. Biometric model adaptation is possible with new images.

Security levels can be chosen according to your security needs.

Computing Time and Memory Information

Face verification is very fast. The results presented below have been realized on images with a resolution of 320x240, on an Intel Core2 Duo E8500 @ 3.16GHz CPU and on an iPhone 4.

	Computer ("real time" algorithm)	Mobile ("mobile" algorithm)
Face Localization	17 [ms] -> 58 fps	17 [ms] -> 58 fps
Face Verification	27 [ms] -> 37 fps	30-90 [ms] -> 11-33 fps

Robustness

The library is robust to low resolution, slight light variation and face occlusion. It is also robust to beard variations, glasses changing, skin tone change ... Heavy side face lighting can compromise recognition. The background has no influence for face recognition.

The library can be embedded in multi-threaded applications too. This SDK have been used in several applications for years and all known bugs have been corrected.

Interface

The API is in C language with a full documentation. You can link with the library from almost any language (C, C++, C#, Java, VB, .NET...).

Sample Codes

Sample codes for detection and verification are provided along with the library with a clear documentation. Error codes are handled for debugging purpose.

Application Examples

• Access Control
• Photo Tagging
• Challenge Response

KeyLemonFaceSDK

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