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Proceedings Paper

False match elimination for face recognition based on SIFT algorithm
Author(s): Xuyuan Gu; Ping Shi; Meide Shao
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Paper Abstract

The SIFT (Scale Invariant Feature Transform) is a well known algorithm used to detect and describe local features in images. It is invariant to image scale, rotation and robust to the noise and illumination. In this paper, a novel method used for face recognition based on SIFT is proposed, which combines the optimization of SIFT, mutual matching and Progressive Sample Consensus (PROSAC) together and can eliminate the false matches of face recognition effectively. Experiments on ORL face database show that many false matches can be eliminated and better recognition rate is achieved.

Paper Details

Date Published: 8 July 2011
PDF: 6 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092T (8 July 2011); doi: 10.1117/12.896380
Show Author Affiliations
Xuyuan Gu, Communication Univ. of China (China)
Ping Shi, Communication Univ. of China (China)
Meide Shao, Communication Univ. of China (China)

Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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