Overview:

IIT Face Recognizer (IIT FR) - software solution for human face verification and identification. Face Verification procedure performs a comparison between any new face image and face images of some fixed registered user from database. Face Identification procedure performs a comparison between any new face image and face images of all registered users from database or some fixed part of it.

IIT FR Software Development Kit (IIT FR SDK) - corresponding software library for human face verification and identification. It is created to be a compatible and flexible part of different client-oriented biometric systems.

Features:

• Video input: Bitmap image
• Recognition output: Verification and Identification result with Boolean answer and belief measure
• Multi-mode analysis: set of biometric recognition techniques are fused to provide the most belief recognition answer
• Image quality estimation: estimation of lighting conditions for diagnosing of bad quality of face imagery providing small belief of face recognition.

Key Data:

• Image format: Grayscale imagery (8 bit/pixel). Face size not less than 60x80 pixels
• Operation mode: verification, identification
• Robustness: up to 0.95
• Performance: not greater than 0,2s for 640x480 pixels (Pentium IV 2.4GHz)

Advantages:

• Non-critical to video hardware. Low cost USB camera is compatible for successful operation
• Convenient API. Easy incorporation of face recognition component into the user's applications
• Ready "hardware+software" solution based on "Intellect" platform (including cameras, frame grabbers and multi-channel video surveillance software "Intellect" with IIT Face Recognition module incorporated) from ITV company