%0 Conference Proceedings
%4 sid.inpe.br/banon/2005/07.05.21.20
%2 sid.inpe.br/banon/2005/07.05.21.20.39
%@doi 10.1109/SIBGRAPI.2005.45
%T Ridge-based fingerprint matching using Hough Transform
%D 2005
%A Marana, Aparecido Nilceu,
%A Jain, Anil K.,
%@affiliation UNESP – Faculdade de Ciências – Departamento de Computação – Bauru – SP – Brazil
%@affiliation Michigan State University – College of Engineering – East Lansing – Michigan - USA
%E Rodrigues, Maria Andréia Formico,
%E Frery, Alejandro César,
%B Brazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
%C Natal, RN, Brazil
%8 9-12 Oct. 2005
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K Fingerprint matching, ridge, Hough transform, biometrics.
%X 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%.
%@language en
%3 MaranaA_fingerprint.pdf