@inbook{cb0147addc76489f8375578af14ab89c,
title = "Fingerprint matching with registration pattern inspection",
abstract = "The {"}registration pattern{"} between two fingerprints is the optimal registration of each part of one fingerprint with respect to the other fingerprint. Registration patterns generated from imposter's matching attempts are different from those patterns from genuine matching attempts, although they may share some similarities in the aspect of minutiae. In this paper, we present an algorithm that utilizes minutiae, associate ridges and orientation fields to determine the registration pattern between two fingerprints and match them. The proposed matching scheme has two stages. An offline, training stage, derives a genuine registration pattern base from a set of genuine matching attempts. Then, an online matching stage registers the two fingerprints and determines the registration pattern. Only if the pattern makes a genuine one, a further fine matching is conducted. The genuine registration pattern base was derived using a set of fingerprints extracted from the NIST Special Database 24. The algorithm has been tested on the second FVC2002 database. Experimental results demonstrate the performance of the proposed algorithm.",
author = "Hong Chen and Jie Tian and Xin Yang",
year = "2003",
doi = "10.1007/3-540-44887-x\_39",
language = "英语",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "327--334",
editor = "Josef Kittler and Nixon, \{Mark S.\}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "德国",
}