@inproceedings{592f1bec4beb41388f6c6406f1fdf3ce,
title = "Enhancement of low quality fingerprints based on anisotropic filtering",
abstract = "The enhancement of the low quality fingerprint is a difficult and challenge task. This paper proposes an efficient algorithm based on anisotropic filtering to enhance the low quality fingerprint. In our algorithm, an orientation filed estimation with feedback method was proposed to compute the accurate fingerprint orientation. The gradient-based approach was firstly used to compute the coarse orientation. Then the reliability of orientation was computed from the gradient image. If the reliability of the estimated orientation is less than pre-specified threshold, the orientation will be corrected by the mixed orientation model. And an anisotropic filtering was used to enhance the fingerprint, with the advantages of its efficient ridge enhancement and its robustness against noise in the fingerprint image. The proposed algorithm has been evaluated on the databases of Fingerprint verification competition (FVC2004). Experimental results confirm that the proposed algorithm is effective and robust for the enhancement of the low quality fingerprint.",
author = "Xinjian Chen and Jie Tian and Yangyang Zhang and Xin Yang",
year = "2006",
doi = "10.1007/11608288\_41",
language = "英语",
isbn = "3540745483",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "302--308",
booktitle = "Advances in Biometrics - International Conference, ICB 2006, Proceedings",
address = "德国",
note = "2006 International Conference on Biometrics, ICB 2006 ; Conference date: 05-01-2006 Through 07-01-2006",
}