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New Template Based Face Recognition Using Log-polar Mapping and Affine Transformation  

Kim, Mun-Gab (Yong-In Songdam College, Dept. of Digital Electronics & Information)
Choi, Il (Kumi College, Dept. of Information and Communications)
Chien, Sung-Il (Kyungpook National University, School of Electrical Engineering and Computer Science)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.39, no.2, 2002 , pp. 1-10 More about this Journal
Abstract
This paper presents the new template based human face recognition methods to improve the recognition performance against scale and in-plane rotation variations of face images. To enhance the recognition performance, the templates are generated by linear or nonlinear operation on multiple images including different scales and rotations of faces. As the invariant features to allow for scale and rotation variations of face images, we adopt the affine transformation, the log-polar mapping, and the log-polar image based FFT. The proposed recognition methods are evaluated in terms of the recognition rate and the processing time. Experimental results show that the proposed template based methods lead to higher recognition rate than the single image based one. The affine transformation based face recognition method shows marginally higher recognition rate than those of the log-polar mapping based method and the log-polar image based FFT, while, in the aspect of processing time, the log-polar mapping based method is the fastest one.
Keywords
FFT;
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