A Novel Two stage Cascading Algorithm for Fingerprint Recognition

DOI

10.2991/3ca-13.2013.76How to use a DOI?

Keywords

fingerprint recognition; cascading; minutiae; orientation; information fusion

Abstract

A novel two stage cascading algorithm for fingerprint recognition is proposed combining minutiae based classifier with orientation based classifier. Fingerprint images are classified at the first stage by using the minutiae based method presented in this paper. At the second stage, there is a small probability in application that both the results of minutiae and orientation based matchers are utilized as inputs of the higher stage classification system. Experiments have been conducted on public database of fingerprint images and the results reveal that the approach described in this paper can achieve good performance with higher accuracy and better efficiency.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xuying Zhao
AU  - Xiaokun Zhang
AU  - Huamin Feng
AU  - Geng Zhao
AU  - Kejun Zhang
AU  - Rong Qian
PY  - 2013/04
DA  - 2013/04
TI  - A Novel Two stage Cascading Algorithm for Fingerprint Recognition
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation
PB  - Atlantis Press
SP  - 305
EP  - 308
SN  - 1951-6851
UR  - https://doi.org/10.2991/3ca-13.2013.76
DO  - 10.2991/3ca-13.2013.76
ID  - Zhao2013/04
ER  -