Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1211
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Title: Palmprint texture analysis using derivative of gaussian filters
Authors: Wu, X
Wang, K
Zhang, DD 
Issue Date: 2006
Source: CIS 2006 : 2006 International Conference on Computational Intelligence and Security : Guangzhou, China, November 3-6, 2006 : proceedings, v. 1, p. 751-754
Abstract: This paper presents a novel approach of palmprint texture analysis based on the derivative of gaussian filter. In this approach, the palmprint image is respectively preprocessed along horizontal and vertical direction using derivative of gaussian (DoG) Filters. And then the palmprint is encoded according to the sign of the value of each pixel of the filtered images. This code is called DoGCode of the palmprint. The size of DoGCode is 256 bytes. The similarity of two DoGCode is measured using their Hamming distance. This approach is tested on the PolyU Palmprint Database, which containing 7605 samples from 392 palms, and the EER is 0.19%, which is comparable with the existing palmprint recognition methods.
Keywords: Hamming distance
Image coding
Pixels
Program processors
Publisher: IEEE
ISBN: 1424406056
Rights: © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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