@inproceedings{03a908e0eb3746e1beabeebc9941d08c,
title = "Fingerprint indexing based on combination of novel minutiae triplet features",
abstract = "Fingerprint indexing is a process of pre-filtering the template database before matching. The most common features used for fingerprint indexing are based on minutiae triplets. In this paper, we investigated the indexing performance based on some commonly used features of minutiae triplets and proposed to combine these features with some novel features of minutiae triplets for fingerprint indexing. Experiments on FVC 2000 DB2a and 2002 DB1a show that the proposed indexing method can perform better than state-of-the-art schemes for full fingerprint indexing, meanwhile, experimental results on NIST SD 14 show that the performance is improved significantly after the new features are added to the feature space, and is fairly good even for partial fingerprint indexing.",
author = "Wei Zhou and Jiankun Hu and Song Wang and Ian Petersen and Mohammed Bennamoun",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 8th International Conference on Network and System Security, NSS 2014 ; Conference date: 15-10-2014 Through 17-10-2014",
year = "2014",
doi = "10.1007/978-3-319-11698-3_29",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "377--388",
editor = "Au, {Man Ho} and Barbara Carminati and Kuo, {C.-C. Jay}",
booktitle = "Network and System Security - 8th International Conference, NSS 2014, Proceedings",
address = "Germany",
}