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Proceedings Paper

Multiresolution fuzzy approach for singularity detection in fingerprint images
Author(s): Pedro R. Vizcaya; Lester A. Gerhardt
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Paper Abstract

This paper describes an approach for singularity (cores and deltas) detection on fingerprint images which uses fuzzy concepts and hierarchical structure. Singularity detection is usually performed of a discrete orientation matrix. Each of the elements of this matrix represents the dominant orientation on a given region. In this case, a fuzzy description of the orientation is defined. A very common method for singularity detection is the evaluation of the Poincare index on the orientation matrix. The fuzzy orientation is then naturally extended to the Poincare index. A multi-resolution description of the orientation matrix is developed and applied in a hierarchical way to estimate the location of singularities in fingerprint images. The method is illustrated on a database consisting of 310 fingerprints with mixed quality with application to fingerprint verification. The performance of this procedure is better than 98%.

Paper Details

Date Published: 14 February 1997
PDF: 11 pages
Proc. SPIE 2935, Surveillance and Assessment Technologies for Law Enforcement, (14 February 1997); doi: 10.1117/12.266803
Show Author Affiliations
Pedro R. Vizcaya, Rensselaer Polytechnic Institute (United States)
Lester A. Gerhardt, Rensselaer Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 2935:
Surveillance and Assessment Technologies for Law Enforcement
A. Trent DePersia; Suzan Yeager; Steve M. Ortiz, Editor(s)

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