@inproceedings{796a9892c3c84073ad6f50b43dd9cc8e,
title = "Fingerprint Pore Extraction Based on Multi-scale Morphology",
abstract = "This paper proposes a new method to extract pores on high resolution fingerprints. The basic idea of this method is to binarize the fingerprint images based on multi-scale morphological transformation, and then extract pores by different strategies. The closed pores are extracted by the size of connected regions, and the open pores are detected using the skeleton of valleys. The noise and false detected points are finally removed by using a comprehensive selection rule. Experimental results have shown that the proposed method can improve the accuracy of existing methods.",
keywords = "Biometrics, Fingerprint identification, Pore extraction",
author = "Yuanrong Xu and Guangming Lu and Feng Liu and Yanxia Li",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 12th Chinese Conference on Biometric Recognition, CCBR 2017 ; Conference date: 28-10-2017 Through 29-10-2017",
year = "2017",
doi = "10.1007/978-3-319-69923-3\_31",
language = "英语",
isbn = "9783319699226",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "288--295",
editor = "Yunhong Wang and Yu Qiao and Jie Zhou and Jianjiang Feng and Zhenan Sun and Zhenhua Guo and Shiguang Shan and Linlin Shen and Shiqi Yu and Yong Xu",
booktitle = "Biometric Recognition - 12th Chinese Conference, CCBR 2017, Proceedings",
address = "德国",
}