CHEN Xiaoguang, FENG Jufu. A Novel Algorithm for Distorted Fingerprint Matching Using Stable Regions[J]. Journal of Image and Graphics, 2010, 15(8): 1220. DOI: 10.11834/jig.20100819.
A Novel Algorithm for Distorted Fingerprint Matching Using Stable Regions
Distorted fingerprint matching is an important but difficult problem for automatic fingerprint recognition system. To cope with it
we propose a novel approach for distorted fingerprint matching via stable region (SR). By means of SR
the issue to match two fingerprints is tactfully converted to a search and find the corresponding SRs in the fingerprints. Through a three-step procedure which consists of construction
confirmation and expansion
corresponding minutiae are matched in different spatial scales from points to local structures and in different kinds of distorted regions from linear to nonlinear. The proposed algorithm is evaluated with FVC2004 database
and the experimental results show that the proposed algorithm has excellent performance and is strongly robust to nonlinear distortion.