Algorithm for detection and elimination of false minutiae in fingerprint images

Seonjoo Kim, Dongjae Lee, Jaihie Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

A common problem in fingerprint recognition is the existence of false minutiae which increase both FAR and FRR in fingerprint matching. In this paper, a robust minutiae postprocessing algorithm is proposed. Unlike most algorithms which use simple distance and connectivity criterions for postprocessing, we also used orientation and flow of ridges as the key factor for postprocessing to avoid eliminating true minutiae while postprocessing. It is shown by the experiments that our postprocessing algorithm improves the minutiae extraction accuracy and the performance of the matching process.

Original languageEnglish
Title of host publicationAudio- and Video-Based Biometric Person Authentication - Third International Conference, AVBPA 2001, Proceedings
Pages235-240
Number of pages6
Publication statusPublished - 2001 Dec 1
Event3rd International Conference on Audio- and Video- Based Biometric Person Authentication, AVBPA 2001 - Halmstad, Sweden
Duration: 2001 Jun 62001 Jun 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2091 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Audio- and Video- Based Biometric Person Authentication, AVBPA 2001
CountrySweden
CityHalmstad
Period01/6/601/6/8

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kim, S., Lee, D., & Kim, J. (2001). Algorithm for detection and elimination of false minutiae in fingerprint images. In Audio- and Video-Based Biometric Person Authentication - Third International Conference, AVBPA 2001, Proceedings (pp. 235-240). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2091 LNCS).