基于非线性扩散滤波的指纹增强算法
*
(100080)
tian@doctor.com
摘要
(2n+1)(2n+1) 4n
NIST27 FVC2002
关键词
中图分类号 TP391
Fingerprint Enhancement Algorithm Based On Nonlinear
Diffusion Filter
Jiangang Cheng Jie Tian
*
Yuliang He
(Biometrics Research Group, Lab. of Complex Systems & Intelligence Science, Institute of
Automation, CAS, 100080, Beijing)
Abstract
This paper proposes a nonlinear diffusion filter to enhance fingerprint image and extract the
minutiae according to the characteristic of the fingerprint. The algorithm uses the structure tensor
to construct diffusion tensor, and makes the filter diffuse along the ridge direction. In order to
improve the computing efficiency, according to the discrete format of the diffusion tensor in a
window size of (2n+1)(2n+1), split the diffusion filter into 4n directions, after that, in each
direction compute the fingerprint enhancement image with Thomas-Gaussian elimination
algorithm. The advantage of this algorithm is to connect the breaking ridges in an effective way,
and cannot change the continuity and singularity of the ridge. Experiments done on NIST27 and
FVC2002 databases show enhancement algorithm based on nonlinear diffusion filter could
improve the performance extracting minutiae and fingerprint positive matching ratio.
1 引言
ATM IC
(60225008);
(2002CCA03900) ;863(2002AA234051); 60303022
*
010-62532105010-62527995
2003-07-09 2003-11-16
