Marana, Aparecido Nilceu [UNESP]Jain, Anil K.2014-05-272014-05-272005-12-01Brazilian Symposium of Computer Graphic and Image Processing, v. 2005, p. 112-119.1530-1834http://hdl.handle.net/11449/130683Despite 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.112-119engComputational methodsDatabase systemsHough transformsImage processingImage qualityOptical sensorsFingerprint imagesFingerprint matchingSolid-state sensorsUser authenticationPattern matchingTrabalho apresentado em evento10.1109/SIBGRAPI.2005.45WOS:000234326800014Acesso aberto2-s2.0-338473179316027713750942689