@inproceedings{b6fdac2ece2d406eb81944a236b6a7b7,
title = "Fingerprint matching combining the adjacent feature with curvature of ridges",
abstract = "Minutiae matching is the most popular approach to fingerprint verification. A novel feature vector for each fingerprint minutia based on the adjacent feature and curvature of ridges had been defined in this paper. These features are used to identify corresponding minutiae between two fingerprint impressions by computing the Euclidean distance between vectors. A novel fingerprint matching algorithm had been developed using both features. A series of experiments conducted on the public data collection, DB3, FVC2002, demonstrates that the proposed method provides the effectiveness and a good trade-off between speed and accuracy.",
keywords = "Adjacent feature, Curvature, Fingerprint, Matching",
author = "Chongwen Wang and Gangyi Ding and Zhiwei Zheng",
year = "2008",
doi = "10.1109/WCICA.2008.4593965",
language = "English",
isbn = "9781424421145",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6811--6816",
booktitle = "Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08",
address = "United States",
note = "7th World Congress on Intelligent Control and Automation, WCICA'08 ; Conference date: 25-06-2008 Through 27-06-2008",
}