DocumentCode :
2460151
Title :
A hybrid fingerprint matcher
Author :
Ross, Arun ; Jain, Anil ; Reisman, James
Author_Institution :
Michigan State Univ., East Lansing, MI, USA
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
795
Abstract :
We describe a hybrid fingerprint matching scheme that uses both minutiae and ridge flow information to represent and match fingerprints. A set of 8 Gabor filters, whose spatial frequencies correspond to the average inter-ridge spacing in fingerprints, is used to capture the ridge strength at equally spaced orientations. A square tessellation of the filtered images is then used to construct an eight-dimensional feature map, called the. ridge feature map. The ridge feature map along with the minutiae set of a fingerprint image is used for matching purposes. The genuine accept rate of the hybrid matcher is observed to be ∼10% higher than that of a minutiae-based matcher at low false accept rates. Fingerprint verification using the hybrid matcher on a Pentium III (800 MHz) processor takes ∼1.4 seconds.
Keywords :
fingerprint identification; image matching; Gabor filters; fingerprint verification; hybrid fingerprint matcher; inter-ridge spacing; ridge feature map; ridge flow information; spatial frequencies; Bifurcation; Fingerprint recognition; Frequency; Gabor filters; Image matching; Image sensors; Nonlinear distortion; Robustness; Solid state circuits; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1048138
Filename :
1048138
Link To Document :
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