A hybrid fingerprint matcher

被引:0
|
作者
Ross, A [1 ]
Jain, A [1 ]
Reisman, J [1 ]
机构
[1] Michigan State Univ, E Lansing, MI 48824 USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 similar to 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 similar to 1.4 seconds.
引用
收藏
页码:795 / 798
页数:4
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