Palmprint texture analysis using derivative of Gaussian filters

Xiangqian Wu; Kuanquan Wang; Dapeng Zhang

doi:10.1109/ICCIAS.2006.294235

Palmprint texture analysis using derivative of Gaussian filters

Xiangqian Wu, Kuanquan Wang, Dapeng Zhang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

45 Citations (Scopus)

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.

Original language	English
Title of host publication	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Pages	751-754
Number of pages	4
Volume	1
DOIs	https://doi.org/10.1109/ICCIAS.2006.294235
Publication status	Published - 1 Dec 2007
Event	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 - Guangzhou, China Duration: 3 Oct 2006 → 6 Oct 2006

Conference

Conference	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Country/Territory	China
City	Guangzhou
Period	3/10/06 → 6/10/06

ASJC Scopus subject areas

General Computer Science
Control and Systems Engineering

More information

10.1109/ICCIAS.2006.294235

http://hdl.handle.net/10397/1211

Cite this

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title = "Palmprint texture analysis using derivative of Gaussian filters",

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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Wu, X, Wang, K & Zhang, D 2007, Palmprint texture analysis using derivative of Gaussian filters. in 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006. vol. 1, 4072188, pp. 751-754, 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006, Guangzhou, China, 3/10/06. https://doi.org/10.1109/ICCIAS.2006.294235

Palmprint texture analysis using derivative of Gaussian filters. / Wu, Xiangqian; Wang, Kuanquan; Zhang, Dapeng.
2006 International Conference on Computational Intelligence and Security, ICCIAS 2006. Vol. 1 2007. p. 751-754 4072188.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Palmprint texture analysis using derivative of Gaussian filters

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