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Face verification using template matching

delete2007-09-01
delete17
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Anil Kumar Sao *
B
B. Yegnanarayana
DOI：10.1109/TIFS.2007.902920delete
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Abstract

Abstract

En 中文
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 per son, 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.
Keywords:
autoassociative neural network (AANN)
face verification
1-D image processing
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Journal

IEEE Transactions on Information Forensics and Security cover
IEEE Transactions on Information Forensics and Security
IF:
8
Papers:
5.2K
Citations:
2.3W

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