Adaptive Hybrid Matching Method using Filterbank and Minutiae Information

This paper describes an adaptive hybrid fingerprint matching method using minutiae, filterbank, and the quality of fingerprint. We estimate the quality of each block in the fingerprint image and extract the probability expectation about the quality of each block. By using this expectation, we could achieve the robust matching rate despite of noise distortion. The matching rate of the proposed method is higher than that of other methods. However, the matching speed is similar with that of others as shown in the results.

[1]  Sharath Pankanti,et al.  An identity-authentication system using fingerprints , 1997, Proc. IEEE.

[2]  Vasily Vasyukov,et al.  Texture image segmentation based on a binary Gibbs model , 2006 .

[3]  Anil K. Jain,et al.  Fingerprint Image Enhancement: Algorithm and Performance Evaluation , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Arun Ross,et al.  A hybrid fingerprint matcher , 2002, Object recognition supported by user interaction for service robots.