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Fingerprint matching using local alignment based on multiple pairs of reference minutiae

[+] Author Affiliations
Guo Cao

Nanjing University of Science and Technology, The School of Computer Science and Technology, Nanjing Jiangsu 210094, China

Yuan Mei

Nanjing University of Information Science and Technology, Computer Science Department, Nanjing Jiangsu 210044, China

Zhihong Mao

Sun Yat-sen University, Computer Science Department, Guangzhou, 510275, China

Quan-Sen Sun

Nanjing University of Science and Technology, The School of Computer Science and Technology, Nanjing Jiangsu 210094, China

J. Electron. Imaging. 18(4), 043002 (October 20, 2009). doi:10.1117/1.3247859
History: Received April 26, 2009; Revised July 11, 2009; Accepted August 31, 2009; Published October 20, 2009
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A novel minutiae-based method is proposed to match deformed fingerprints. We combine minutiae structures and descriptors to obtain multiple pairs of reference minutiae and globally align two sets of minutiae to get a common overlapping region based on these pairs of reference minutiae. At the matching stage, our proposed approach aligns local areas in two fingerprints with new reference minutiae pairs that are selected from matched minutiae pairs. After registration of the fingerprints according to the local correspondence, the number of matched minutiae can be counted using tight thresholds. Experimental results confirm that the proposed algorithm is effective for fingerprint matching with nonlinear distortions.

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© 2009 SPIE and IS&T

Citation

Guo Cao ; Yuan Mei ; Zhihong Mao and Quan-Sen Sun
"Fingerprint matching using local alignment based on multiple pairs of reference minutiae", J. Electron. Imaging. 18(4), 043002 (October 20, 2009). ; http://dx.doi.org/10.1117/1.3247859


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