Palmprint recognition using fourier-mellin transformation based registration method

Authors:
Liang Li;Xin Yang;Yuliang Hi;Jie Tian
Affiliations:
Center for Biometrics and Security Research, Key Laboratory of Complex Systems, and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Graduate School of the Chinese Acade ...;Center for Biometrics and Security Research, Key Laboratory of Complex Systems, and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Graduate School of the Chinese Acade ...;Center for Biometrics and Security Research, Key Laboratory of Complex Systems, and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Graduate School of the Chinese Acade ...;Center for Biometrics and Security Research, Key Laboratory of Complex Systems, and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Graduate School of the Chinese Acade ...
Venue:
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Year:
2005

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Abstract

In this paper, we propose a new method for palmprint recognition based on the registration results between two palmprint images. After preprocessing, a unified coordinate system is constructed for each palmprint image. If two palmprints images are captured from the same hand, the translation, rotation and scaling alignment differences between their corresponding image blocks should be small. Therefore the registration parameters obtained by the Fourier-Mellin Transformation are used to measure the similarity between two palmprint patterns. Experimental results demonstrate the effectiveness of our ideas.