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Sydney, Qld.
July 26, 2006 to July 28, 2006
ISBN: 0-7695-2606-3
pp: 168-172
Michael KO Goh , Multimedia University, Malaysia
Tee Connie , Multimedia University, Malaysia
Andrew BJ Teoh , Multimedia University, Malaysia
David CL Ngo , Multimedia University, Malaysia
Palm print is a relatively new biometric technology. Palm print textures like principle lines, wrinkles and ridges contain discriminative information which can be extracted for verification purpose. In this paper, we aim to reexamine the competitive palm code scheme proposed by [6], and introduce some improvement over the proposed method. In order to reduce the computation complexity, we adopted wavelet transform to decompose the palm print image into lower resolution. We are able to show that wavelet transform when integrated with 2D Gabor filter is able to yield verification rate of 96.70%, with an improved verification speed of less than 1 second.
Biometrics, Gabor filter, Wavelet Transform, Palm Print, Competitive Rule
Michael KO Goh, Tee Connie, Andrew BJ Teoh, David CL Ngo, "A Fast Palm Print Verification System", CGIV, 2006, Proceedings. Computer Graphics, Imaging and Visualisation Techniques and Applications, Proceedings. Computer Graphics, Imaging and Visualisation Techniques and Applications 2006, pp. 168-172, doi:10.1109/CGIV.2006.7
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