Quality measures of fingerprint images

Lin Lin Shen, Alex Kot, Wai Mun Koo

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

128 Citations (Scopus)

Abstract

In an automatic fingerprint identification system, it is desirable to estimate the image quality of the fingerprint image before it is processed for feature extraction. This helps in deciding on the type of image enhancements that are needed and in deciding on thresholds for the matcher in the case that dynamic thresholds are used. In this paper, we propose a Gabor-feature based method for determining the quality of the fingerprint images. An image is divided into N w x w blocks. Gabor features of each block are computed first, then the standard deviation of them Gabor features is used to determine the quality of this block. The results are compared with an existing model of quality estimation. Our analysis shows that our method can estimate the image quality accurately.

Original languageEnglish
Title of host publicationAudio- and Video-Based Biometric Person Authentication - Third International Conference, AVBPA 2001, Proceedings
PublisherSpringer Verlag
Pages266-271
Number of pages6
ISBN (Print)3540422161, 9783540422167
DOIs
Publication statusPublished - 2001
Externally publishedYes
Event3rd International Conference on Audio- and Video- Based Biometric Person Authentication, AVBPA 2001 - Halmstad, Sweden
Duration: 6 Jun 20018 Jun 2001

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

Conference

Conference3rd International Conference on Audio- and Video- Based Biometric Person Authentication, AVBPA 2001
Country/TerritorySweden
CityHalmstad
Period6/06/018/06/01

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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