A Novel Two stage Cascading Algorithm for Fingerprint Recognition
Authors
Xuying Zhao, Xiaokun Zhang, Huamin Feng, Geng Zhao, Kejun Zhang, Rong Qian
Corresponding Author
Xuying Zhao
Available Online April 2013.
- 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/).
Cite this article
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 -