Interactive Embedded Face Recognition

This paper describes the design and construction of a prototype for 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 nature and its’ use of Java 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. An eigenface algorithm processes the segmented faces and matches the face to a face database.

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