Paper
14 February 1997 Multiresolution fuzzy approach for singularity detection in fingerprint images
Pedro R. Vizcaya, Lester A. Gerhardt
Author Affiliations +
Proceedings Volume 2935, Surveillance and Assessment Technologies for Law Enforcement; (1997) https://doi.org/10.1117/12.266803
Event: Enabling Technologies for Law Enforcement and Security, 1996, Boston, MA, United States
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%.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pedro R. Vizcaya and Lester A. Gerhardt "Multiresolution fuzzy approach for singularity detection in fingerprint images", Proc. SPIE 2935, Surveillance and Assessment Technologies for Law Enforcement, (14 February 1997); https://doi.org/10.1117/12.266803
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KEYWORDS
Fuzzy logic

Fourier transforms

Double patterning technology

Gaussian filters

Databases

Image filtering

Image segmentation

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