Improving fingerprint recognition based on crease detection

Jie Zhou, Chenyu Wu, Zhaoqi Bian, Dapeng Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)


Conventional algorithms for fingerprint recognition are mainly based on minutiae information. But it is difficult to extract minutiae accurately and robustly for elder people. One of main reasons is that there are too many creases on the fingertips of elder people. In this paper, we will propose a novel algorithm to improve fingerprint recognition based on crease detection. First, creases are extracted by using some special filters. Then the minutiae detected by using conventional algorithms can be further processed and those on or near the creases are discarded as false minutiae. The experimental results show that the performance can be improved by applying crease detection to discard the false minutiae. The false rejection rate can be reduced 6% on average for the fingerprints with creases.
Original languageEnglish
Pages (from-to)287-293
Number of pages7
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - 1 Dec 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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