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Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries, and human-computer intelligent interactions.The book is based on the design and construction of a test-bed for prototyping of embedded face detection and recognition algorithms. It makes use of a hand-held device. 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. The methods presented are synergetic efforts from the fields signal and image processing, pattern recognition, machine learning, neural networks, psychophysics, and system engineering. The emphasis is on tested methods such as principal component analysis, dynamic link architecture, support vector machines, and video processing.

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His research interests include computervision, pattern recognition, image and videoprocessing, machine learning, HCI, medical imageanalysis, multimedia retrieval, content-based imageretrieval, web-scale automatic imageannotation, statistical learning, large-scaleinformation management, gene regulatory networkreconstruction, visual object recognition etc.

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