Interactive Face Recognition

-----------------------------------------------------------------------------------------4 1.Introduction-----------------------------------------------------------------------------------4 1.1 Problem Definition-----------------------------------------------------------------------4 1.2 Motivation---------------------------------------------------------------------------------5 1.3 Approach-------------------------------------------------------------------------------5 1.4 Ethics and Societal Implications----------------------------------------------------6 2. Literature Survey----------------------------------------------------------------------------7 3. Hardware and Software--------------------------------------------------------------------10 4. Experiments On Images-------------------------------------------------------------------12 4.0 Camera--------------------------------------------------------------------------------12 4.1 Face detection-----------------------------------------------------------------------------13 4.2 YIQ color model-------------------------------------------------------------------14 4.3 YCbCr color model----------------------------------------------------------------15 4.4 Binary Image Processing ----------------------------------------------------------------17 4.5 Blob Detection---------------------------------------------------------------------------18 4.6 Face Recognition-----------------------------------------------------------------------19 4.7 Analysis-------------------------------------------------------------------------------20 5. Conclusion ---------------------------------------------------------------------------------25 6. Literature Cited---------------------------------------------------------------------------26 7. Appendix------------------------------------------------------------------------------------30 Abstract This paper describes the design and construction of a test-bed for prototyping of embedded face detection and recognition algorithms. The test-bed is called the PITS (Portable Interactive Terrorist Identification System), it makes use of a hand-held device called the Sharp Zaurus. The embedded device has a processor, camera, color display, and wireless networking. This system is different from existing systems because of its embedded information technologies. The embedded device performs both detection and recognition. We present a skin color approach in the YCbCr color space for fast and accurate skin detection. We then process this image using a combination of morphological operators and elliptical shape of faces to segment faces from the other skin colored regions in an image. An eigenface algorithm processes the segmented faces and matches the face to a face database.This paper describes the design and construction of a test-bed for prototyping of embedded face detection and recognition algorithms. The test-bed is called the PITS (Portable Interactive Terrorist Identification System), it makes use of a hand-held device called the Sharp Zaurus. The embedded device has a processor, camera, color display, and wireless networking. This system is different from existing systems because of its embedded information technologies. The embedded device performs both detection and recognition. We present a skin color approach in the YCbCr color space for fast and accurate skin detection. We then process this image using a combination of morphological operators and elliptical shape of faces to segment faces from the other skin colored regions in an image. An eigenface algorithm processes the segmented faces and matches the face to a face database.