Ridge-based fingerprint matching using hough transform
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Data
2005-12-01
Autores
Marana, Aparecido Nilceu [UNESP]
Jain, Anil K.
Título da Revista
ISSN da Revista
Título de Volume
Editor
Institute of Electrical and Electronics Engineers (IEEE), Computer Soc
Resumo
Despite the efficacy of minutia-based fingerprint matching techniques for good-quality images captured by optical sensors, minutia-based techniques do not often perform so well on poor-quality images or fingerprint images captured by small solid-state sensors. Solid-state fingerprint sensors are being increasingly deployed in a wide range of applications for user authentication purposes. Therefore, it is necessary to develop new fingerprint-matching techniques that utilize other features to deal with fingerprint images captured by solid-state sensors. This paper presents a new fingerprint matching technique based on fingerprint ridge features. This technique was assessed on the MSU-VERIDICOM database, which consists of fingerprint impressions obtained from 160 users (4 impressions per finger) using a solid-state sensor. The combination of ridge-based matching scores computed by the proposed ridge-based technique with minutia-based matching scores leads to a reduction of the false non-match rate by approximately 1.7% at a false match rate of 0.1%. © 2005 IEEE.
Descrição
Palavras-chave
Computational methods, Database systems, Hough transforms, Image processing, Image quality, Optical sensors, Fingerprint images, Fingerprint matching, Solid-state sensors, User authentication, Pattern matching
Como citar
Brazilian Symposium of Computer Graphic and Image Processing, v. 2005, p. 112-119.