Palmprint verification based on principal lines

De Shuang Huang, Wei Jia, Dapeng Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

237 Citations (Scopus)

Abstract

In this paper, we propose a novel palmprint verification approach based on principal lines. In feature extraction stage, the modified finite Radon transform is proposed, which can extract principal lines effectively and efficiently even in the case that the palmprint images contain many long and strong wrinkles. In matching stage, a matching algorithm based on pixel-to-area comparison is devised to calculate the similarity between two palmprints, which has shown good robustness for slight rotations and translations of palmprints. The experimental results for the verification on Hong Kong Polytechnic University Palmprint Database show that the discriminability of principal lines is also strong.
Original languageEnglish
Pages (from-to)1316-1328
Number of pages13
JournalPattern Recognition
Volume41
Issue number4
DOIs
Publication statusPublished - 1 Apr 2008

Keywords

  • Biometrics
  • Line detection
  • Modified finite Radon transform
  • Palmprint
  • Principal lines

ASJC Scopus subject areas

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

Cite this