Competitive coding scheme for palmprint verification

W. Kong, Dapeng Zhang

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

472 Citations (Scopus)

Abstract

There is increasing interest in the development of reliable, rapid and non-intrusive security control systems. Among the many approaches, biometrics such as palmprints provide highly effective automatic mechanisms for use in personal identification. This paper presents a new method for extracting features from palmprints using the competitive coding scheme and angular matching. The competitive coding scheme uses multiple 2-D Gabor filters to extract orientation information from palm lines. This information is then stored in a feature vector called the competitive code. The angular matching with an effective implementation is then defined for comparing the proposed codes, which can make over 9,000 comparisons within 1s. In our testing database of 7,752 palmprint samples from 386 palms, we can achieve a high genuine acceptance rate of 98.4% and a low false acceptance rate of 3×10-6%. The execution time for the whole process of verification, including preprocessing, feature extraction and final matching, is 1s
Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Pattern Recognition, 2004 : ICPR 2004, 23-26 August 2004
PublisherIEEE Computer Society
Pages520-523
Number of pages4
ISBN (Print)0769521282
DOIs
Publication statusPublished - 2004

Publication series

NameInternational Conference on Pattern Recognition
Volume1
ISSN (Print)1051-4651

Keywords

  • Biometrics (access control)
  • Feature extraction
  • Filtering theory
  • Image coding
  • Image matching
  • Vectors
  • Visual databases

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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