A New Gabor Phase Difference Pattern for Face and Ear Recognition

Authors:
Yimo Guo;Guoying Zhao;Jie Chen;Matti Pietikäinen;Zhengguang Xu
Affiliations:
Machine Vision Group, Department of Electrical and Information Engineering, University of Oulu, Finland 90014 and School of Information Engineering, University of Science and Technology Beijing, B ...;Machine Vision Group, Department of Electrical and Information Engineering, University of Oulu, Finland 90014;Machine Vision Group, Department of Electrical and Information Engineering, University of Oulu, Finland 90014;Machine Vision Group, Department of Electrical and Information Engineering, University of Oulu, Finland 90014;School of Information Engineering, University of Science and Technology Beijing, Beijing, China 100083
Venue:
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Year:
2009

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Abstract

A new local feature based image representation method is proposed. It is derived from the local Gabor phase difference pattern (LGPDP). This method represents images by exploiting relationships of Gabor phase between pixel and its neighbors. There are two main contributions: 1) a novel phase difference measure is defined; 2) new encoding rules to mirror Gabor phase difference information are designed. Because of them, this method describes Gabor phase difference more precisely than the conventional LGPDP. Moreover, it could discard useless information and redundancy produced near quadrant boundary, which commonly exist in LGPDP. It is shown that the proposed method brings higher discriminative ability to Gabor phase based pattern. Experiments are conducted on the FRGC version 2.0 and USTB Ear Database to evaluate its validity and generalizability. The proposed method is also compared with several state-of-the-art approaches. It is observed that our method achieves the highest recognition rates among them.