Practical Orientation Field Estimation for Embedded Fingerprint Recognition Systems

Yukun LIU  Dongju LI  Tsuyoshi ISSHIKI  Hiroaki KUNIEDA  

IEICE TRANSACTIONS on Information and Systems   Vol.E94-D   No.9   pp.1792-1799
Publication Date: 2011/09/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E94.D.1792
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Pattern Recognition
fingerprint recognition,  orientation field,  binary pattern,  embedded system,  

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As a global feature of fingerprint patterns, the Orientation Field (OF) plays an important role in fingerprint recognition systems. This paper proposes a fast binary pattern based orientation estimation with nearest-neighbor search, which can reduce the computational complexity greatly. We also propose a classified post processing with adaptive averaging strategy to increase the accuracy of the estimated OF. Experimental results confirm that the proposed method can satisfy the strict requirements of the embedded applications over the conventional approaches.