Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1211
Title: Palmprint texture analysis using derivative of gaussian filters
Authors: Wu, Xiangqian
Wang, Kuanquan
Zhang, David D.
Subjects: Hamming distance
Image coding
Pixels
Program processors
Issue Date: 2006
Publisher: IEEE
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.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1211
ISBN: 1424406056
Appears in Collections:COMP Conference Papers & Presentations

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