2014 Second International Symposium on Computing and Networking (CANDAR) (2014)
Dec. 10, 2014 to Dec. 12, 2014
In our previous study, we presented the idea of verifying minutiae based fingerprint match by local correlation methods, where both the global minutiae distribution structure and the local matching similarity between the two fingerprints are considered. In this paper, we conduct two algorithms to enhance the evaluation of local correlation score, thus improve our previous local correlation fingerprint matching method. The local image enhancement algorithm is used to improve the quality of the fingerprint image, based upon local ridge information, when the correlation score is calculated. The gradient decent algorithm is used to boost the speed of local fingerprint image registration around the potential matching areas. FVC2002 DB1 database is used to test the proposed approaches. Experimental result shows the improvement on both time and precision.
Fingerprint recognition, Correlation, Image matching, Biometrics (access control), Image enhancement, Algorithm design and analysis
J. Li, S. Tulyakov and V. Govindaraju, "Improved Local Correlation Method for Fingerprint Matching," 2014 Second International Symposium on Computing and Networking (CANDAR), Shizuoka, Japan, 2014, pp. 560-562.