On latent fingerprint enhancement

Soweon Yoon; Jianjiang Feng; Anil K. Jain

doi:10.1117/12.851411

14 April 2010 On latent fingerprint enhancement

Soweon Yoon, Jianjiang Feng, Anil K. Jain

Author Affiliations +

Proceedings Volume 7667, Biometric Technology for Human Identification VII; 766707 (2010) https://doi.org/10.1117/12.851411
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Automatic feature extraction in latent fingerprints is a challenging problem due to poor quality of most latents, such as unclear ridge structures, overlapped lines and letters, and overlapped fingerprints. We proposed a latent fingerprint enhancement algorithm which requires manually marked region of interest (ROI) and singular points. The core of the proposed enhancement algorithm is a novel orientation field estimation algorithm, which fits orientation field model to coarse orientation field estimated from skeleton outputted by a commercial fingerprint SDK. Experimental results on NIST SD27 latent fingerprint database indicate that by incorporating the proposed enhancement algorithm, the matching accuracy of the commercial matcher was significantly improved.

Citation Download Citation

Soweon Yoon, Jianjiang Feng, and Anil K. Jain "On latent fingerprint enhancement", Proc. SPIE 7667, Biometric Technology for Human Identification VII, 766707 (14 April 2010); https://doi.org/10.1117/12.851411

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