Palmprint verification based on robust line orientation code

Wei Jia, De Shuang Huang, Dapeng Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

357 Citations (Scopus)

Abstract

In this paper, we propose a novel robust line orientation code for palmprint verification, whose performance is improved by using three strategies. Firstly, a modified finite Radon transform (MFRAT) is proposed, which can extract the orientation feature of palmprint more accurately and solve the problem of sub-sampling better. Secondly, we construct an enlarged training set to solve the problem of large rotations caused by imperfect preprocessing. Finally, a matching algorithm based on pixel-to-area comparison has been designed, which has better fault tolerant ability. The experimental results of verification on Hong Kong Polytechnic University Palmprint Database show that the proposed approach has higher recognition rate and faster processing speed.
Original languageEnglish
Pages (from-to)1521-1530
Number of pages10
JournalPattern Recognition
Volume41
Issue number5
DOIs
Publication statusPublished - 1 May 2008

Keywords

  • Biometrics
  • Modified finite Radon transform
  • Orientation
  • Palmprint

ASJC Scopus subject areas

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

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