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Proceedings Paper

Fingerprint enhancement based on MRF with curve accumulation
Author(s): Zhongwen Huang; Feihu Qi
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Paper Abstract

The uniqueness of fingerprints has been used for identification for a long time. Automatic fingerprint identification system (AFIS) depends on minutiae to identify a person that rely heavily on the quality of fingerprint image. This paper presents a novel fingerprint enhancement scheme based on a Markov Random Field (MRF). The MRF model is applied to capture local statistical regularities of ridges and then the curve accumulation based on the MRF model is presented to enhance the fingerprint. Such procedure is repeated until the statistics difference can be got between fingerprint ridges and valleys (accumulation). In the end, the adaptive binarisation is made. The results of experiments show that this method can effectively improve the clarity of ridge and valley structures of input fingerprint images and meanwhile preserve the minutiae very well.

Paper Details

Date Published: 20 September 2001
PDF: 6 pages
Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); doi: 10.1117/12.441507
Show Author Affiliations
Zhongwen Huang, Shanghai Jiao Tong Univ. (China)
Feihu Qi, Shanghai Jiao Tong Univ. (China)

Published in SPIE Proceedings Vol. 4552:
Image Matching and Analysis
Bir Bhanu; Jun Shen; Tianxu Zhang, Editor(s)

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