Abstract
This paper describes a novel method for palmprint recognition based on registration information and 2D Gabor features. After preprocessing, a unified coordinate system is constructed for each palmprint image and used to guide ROI extraction. A multi-scale matching strategy is employed to match registration information and 2D Gabor features. In the first two levels, registration information is extracted and used to measure the global similarity between two palmprint patterns. In the third level, two palmprints are aligned with their registration information and then are matched using their corresponding Gabor features. The experimental results demonstrate the effectiveness of the method.
This paper is supported by the Project of National Science Fund for Distinguished Young Scholars of China under Grant No. 60225008, the Key Project of National Natural Science Foundation of China under Grant No. 60332010, the Project for Young Scientists’ Fund of National Natural Science Foundation of China under Grant No.60303022, and the Project of Natural Science Foundation of Beijing under Grant No.4052026.
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© 2005 Springer-Verlag Berlin Heidelberg
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Li, L., Tian, J., Hi, Y., Yang, X. (2005). Multi-scale Palmprint Recognition Using Registration Information and 2D Gabor Feature. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds) Pattern Recognition and Image Analysis. ICAPR 2005. Lecture Notes in Computer Science, vol 3687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552499_15
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DOI: https://doi.org/10.1007/11552499_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28833-6
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