Fingerprint classification based on extraction and analysis of singularities and pseudo ridges

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

138 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)2233-2243
Journal / PublicationPattern Recognition
Volume37
Issue number11
Publication statusPublished - Nov 2004

Abstract

In this paper, we introduce a new approach to fingerprint classification based on extraction and analysis of both singularities and traced pseudo ridges relating to singular points. Because of the image quality, it is difficult to get the correct number and position of the singularities that are widely used in current structural classification methods. With the help of pseudo ridge tracing and analysis of the traced curves, our method does not rely on the extraction of the exact number and positions of the true singular point(s), thus improving the classification accuracy. This method has been tested on the NIST special fingerprint database 4. For the 4000 images in this database, the classification accuracy reaches 92.7% for the 4-class problem. © 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

Research Area(s)

  • Biometrics, Fingerprint classification, Pseudo ridge, Singular point detection