Direct pore matching for fingerprint recognition

Qijun Zhao, Lei Zhang, Dapeng Zhang, Nan Luo

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

75 Citations (Scopus)


Sweat pores on fingerprints have proven to be useful features for personal identification. Several methods have been proposed for pore matching. The state-of-the-art method first matches minutiae on the fingerprints and then matches the pores based on the minutia matching results. A problem of such minutia - Based pore matching method is that the pore matching is dependent on the minutia matching. Such dependency limits the pore matching performance and impairs the effectiveness of the fusion of minutia and pore match scores. In this paper, we propose a novel direct approach for matching fingerprint pores. It first determines the correspondences between pores based on their local features. It then uses the RANSAC (RANdom SAmple Consensus) algorithm to refine the pore correspondences obtained in the first step. A similarity score is finally calculated based on the pore matching results. The proposed pore matching method successfully avoids the dependency of pore matching on minutia matching results. Experiments have shown that the fingerprint recognition accuracy can be greatly improved by using the method proposed in this paper.
Original languageEnglish
Title of host publicationAdvances in Biometrics - Third International Conference, ICB 2009, Proceedings
Number of pages10
Publication statusPublished - 14 Sept 2009
Event3rd International Conference on Advances in Biometrics, ICB 2009 - Alghero, Italy
Duration: 2 Jun 20095 Jun 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5558 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd International Conference on Advances in Biometrics, ICB 2009


  • Fingerprint recognition
  • Fusion
  • Level-3 features
  • Pore matching

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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