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Content Provider | IEEE Xplore Digital Library |
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Author | Ross, A. Jain, A. Reisman, J. |
Copyright Year | 2002 |
Description | Author affiliation: Michigan State Univ., East Lansing, MI, USA (Ross, A.; Jain, A.) |
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 /spl sim/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 /spl sim/1.4 seconds. |
Starting Page | 795 |
Ending Page | 798 |
File Size | 308047 |
Page Count | 4 |
File Format | |
ISBN | 076951695X |
ISSN | 10514651 |
DOI | 10.1109/ICPR.2002.1048138 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2002-08-11 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Fingerprint recognition Frequency Gabor filters Image matching Nonlinear distortion Bifurcation Solid state circuits Image sensors Robustness Tuning |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition |
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