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Face Verification Using Template Matching
Research Area: Uncategorized Year: 2007
Type of Publication: Article Keywords: face recognition, image matching, image representation, neural netsautoassociative neural network, automatic face recognition, edginess-based representation, face image, face verification, human faces, template matching
Authors: Anil Kumar Sao, B. Yegnanarayana  
Human faces are similar in structure with minor differences from person to person. These minor differences may average out while trying to synthesize the face image of a given person, or while building a model of face image in automatic face recognition. In this paper, we propose a template-matching approach for face verification, which neither synthesizes the face image nor builds a model of the face image. Template matching is performed using an edginess-based representation of the face image. The edginess-based representation of face images is computed using 1-D processing of images. An approach is proposed based on autoassociative neural network models to verify the identity of a person. The issues of pose and illumination in face verification are addressed.
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