Palmprint texture analysis using derivative of Gaussian filters

Xiangqian Wu, Kuanquan Wang, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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 languageEnglish
Title of host publication2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Pages751-754
Number of pages4
Volume1
DOIs
Publication statusPublished - 1 Dec 2007
Event2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 - Guangzhou, China
Duration: 3 Oct 20066 Oct 2006

Conference

Conference2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
CountryChina
CityGuangzhou
Period3/10/066/10/06

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Systems Engineering

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