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Proceedings Paper

On latent fingerprint enhancement
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Paper 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.

Paper Details

Date Published: 14 April 2010
PDF: 10 pages
Proc. SPIE 7667, Biometric Technology for Human Identification VII, 766707 (14 April 2010); doi: 10.1117/12.851411
Show Author Affiliations
Soweon Yoon, Michigan State Univ. (United States)
Jianjiang Feng, Michigan State Univ. (United States)
Anil K. Jain, Michigan State Univ. (United States)
Korea Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 7667:
Biometric Technology for Human Identification VII
B. V. K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)

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