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A systematic approach for feature extraction in fingerprint images

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

63 Scopus citations

Abstract

Fingerprint image enhancement and feature extraction are the most important stages in fingerprint verification. The robustness of the system depends entirely upon its ability to enhance bad quality images and reliably extract minutiae from it. In this paper we propose two original algorithms for the extraction of global and local features in fingerprint images. A global feature extraction and enhancement algorithm based on Fourier analysis that is simultaneously able to extract local ridge orientation, ridge frequency and ridge quality measure is proposed. A novel algorithm for minutiae feature extraction and post processing based on chain coded contour following is also presented.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsDavid Zhang, Anil K. Jain
PublisherSpringer Verlag
Pages344-350
Number of pages7
ISBN (Print)3540221468, 9783540221463
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3072
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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