Palmprint feature extraction using 2-D Gabor filters

Wai Kin Kong, Dapeng Zhang, Wenxin Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

292 Citations (Scopus)

Abstract

Biometric identification is an emerging technology that can solve security problems in our networked society. A few years ago, a new branch of biometric technology, palmprint authentication, was proposed (Pattern Recognition 32(4) (1999) 691) whereby lines and points are extracted from palms for personal identification. In this paper, we consider the palmprint as a piece of texture and apply texture-based feature extraction techniques to palmprint authentication. A 2-D Gabor filter is used to obtain texture information and two palmprint images are compared in terms of their hamming distance. The experimental results illustrate the effectiveness of our method.
Original languageEnglish
Pages (from-to)2339-2347
Number of pages9
JournalPattern Recognition
Volume36
Issue number10
DOIs
Publication statusPublished - 1 Jan 2003

Keywords

  • Biometrics
  • Feature extraction
  • Gabor filter
  • Palmprint
  • Texture analysis

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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