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Proceedings of 2009 International Symposium on Computer Science and Computational Technology (ISCSCT 2009)

Huangshan, China, December 26-28, 2009

Editors: Fei Yu, Guangxue Yue, Jian Shu, Yun Liu

AP Catalog Number: AP-PROC-CS-09CN005

ISBN: 978-952-5726-07-7 (Print), 978-952-5726-08-4 (CD-ROM)

Page(s): 254-257

Palmprint Recognition Based on Gabor Transforms and Invariant Moments

        Rina Su, Yongping Zhang, Jianbo Fan, and Shaojing Fan

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Proposed a method of combining two-dimensional Gabor transforms and invariant moments to extract palmprint feature, and using multilayer towards feedback neural network for training palmprint images to recognize. This method first pretreated the collected palmprint images and got the region of interest (ROI), then constructed a set of Gabor filters to get ROI eigenvectors, combined with the palm images’ invariant moment features together as the input of the neural network to train and recognize. Experiments show that the method is effective.

Index Terms

palmprint recognition, Gabor transforms, invariant moments

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