Ridge-Based Fingerprint Matching Using Hough Transform

• Published in: XVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05) pp. 112 - 119
• Main Authors: Marana, A.N., Jain, A.K.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Authentication; Fingerprint recognition; Fingers; Image databases; Image matching; Image sensors; Optical sensors; Sensor phenomena and characterization; Solid state circuits; Spatial databases
• ISBN: 9780769523897; 0769523897
• ISSN: 1530-1834; 2377-5416
• DOI: 10.1109/SIBGRAPI.2005.45

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%.