Fuzzy models for fingerprint description

Authors:
Rosario Arjona;Andrés Gersnoviez;Iluminada Baturone
Affiliations:
Dept. Electrónica y Electromagnetismo, University of Seville, and Microelectronics Institute of Seville, Seville, Spain;Dept. de Arquitectura de Computadores, Electrónica y Tecnología Electrónica, University of Cordoba, Cordoba, Spain;Dept. Electrónica y Electromagnetismo, University of Seville, and Microelectronics Institute of Seville, Seville, Spain
Venue:
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Year:
2011

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Abstract

Fuzzy models, traditionally used in the control field to model controllers or plants behavior, are used in this work to describe fingerprint images. The textures, in this case the directions of the fingerprint ridges, are described for the whole image by fuzzy if-then rules whose antecedents consider a part of the image and the consequent is the associated dominant texture. This low-level fuzzy model allows extracting higher-level information about the fingerprint, such as the existence of singular points and their fuzzy position within the image. This is exploited in two applications: to provide comprehensive information for users of unattended automatic recognition systems and to extract linguistic patterns to classify fingerprints.