@inproceedings{c7ffe15183da4dcaa89be6b5da49cf38,
title = "Fingerprint matching based on neighboring information and penalized logistic regression",
abstract = "This paper proposes a novel minutiae-based fingerprint matching algorithm. A fingerprint is represented by minutiae set and sampling points on all ridges. Therefore, the foreground of a fingerprint image can be accurately estimated by the sampling points. The similarity between two minutiae is measured by two parts: neighboring minutiae which are different in minutiae pattern and neighboring sampling points which are different in orientation and frequency. After alignment and minutiae pairing, Nine features are extracted to represent the matching status and penalized logistic regression (PLR) is adopted to calculate the matching score. The proposed algorithm is evaluated on fingerprint databases of FVC2002 and compared with the participants in FVC 2002. Experimental results show that the proposed algorithm achieves good performance and ranks 5th according to average equal error rate.",
keywords = "Fingerprint matching, Minutia, Penalized logistic regression, Ridge",
author = "Kai Cao and Xin Yang and Jie Tian and Yangyang Zhang and Peng Li and Xunqiang Tao",
year = "2009",
doi = "10.1007/978-3-642-01793-3\_63",
language = "英语",
isbn = "3642017924",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "617--626",
booktitle = "Advances in Biometrics - Third International Conference, ICB 2009, Proceedings",
address = "德国",
note = "3rd IAPR/IEEE International Conference on Advances in Biometrics, ICB 2009 ; Conference date: 02-06-2009 Through 05-06-2009",
}