Double-orientation code and nonlinear matching scheme for palmprint recognition

Lunke Fei, Yong Xu, Wenliang Tang, Dapeng Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

107 Citations (Scopus)

Abstract

Many palmprint authentication approaches have been proposed in recent years. Among them, the orientation based coding approach, in which the dominant orientation features of palmprints are extracted and encoded into bitwise codes, is one of the most promising approaches. The distance between codes created from two palmprint images is calculated in the matching stage. Reliable orientation feature extraction and efficient matching are the two most crucial problems in orientation based coding approaches. However, conventional coding based approaches usually extract only one dominant orientation feature by adopting filters with discrete orientations, which is sensitive to the noise and rotation. This paper proposed a novel double-orientation code (DOC) scheme to represent the orientation feature of palmprint and designed an effective nonlinear angular matching score to evaluate the similarity between the DOC. Extensive experiments performed on three types of palmprint databases demonstrate that the proposed approach has excellent performance in comparison with previously proposed state-of-the-art approaches.
Original languageEnglish
Pages (from-to)89-101
Number of pages13
JournalPattern Recognition
Volume49
DOIs
Publication statusPublished - 1 Jan 2016

Keywords

  • Biometric
  • Double-orientation code
  • Nonlinear angular distance
  • Palmprint recognition

ASJC Scopus subject areas

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

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