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Face Verification Using Template Matching

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2 Author(s)
Anil Kumar Sao ; Dept. of Comput. Sci. & Eng., Indian Inst. of Technol.-Madras, Chennai ; 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.

Published in:

IEEE Transactions on Information Forensics and Security  (Volume:2 ,  Issue: 3 )