Palmprint texture analysis based on low-resolution images for personal authentication

Wai Kin Kong, Dapeng Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

65 Citations (Scopus)

Abstract

Biometrics identification is an emerging solution for solving security problems in our networked society. A new branch of biometric approach - palmprint technology, whereby the lines and points can be extracted from our palm for personal authentication, was proposed several years ago. In this paper, we develop a new feature extraction method based on low - resolution palmprint images. A 2-D Gabor filter is used to obtain the texture information and two palmprint images are compared in term of their hamming distance. The experimental results illustrate the effectiveness of our method.
Original languageEnglish
Pages (from-to)807-810
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume16
Issue number3
Publication statusPublished - 1 Dec 2002

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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