Fingerprint classification method based on least square support vector machine and detailed image

Authors:
Wang Xianfang;Zheng Zhulin;Zhang Haiyan
Affiliations:
Henan Institute of Science and Technology, Xinxiang, China and School of Communication and Control Engineering, Jiangnan University, Wuxi, China;Henan Institute of Science and Technology, Xinxiang, China;Henan Institute of Science and Technology, Xinxiang, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

A new online fingerprint identification method is proposed based on detailed image feature and Least-Square Support Vector Machines which has the fast calculate and better generalization capability. This algorithm uses binary tree theory to decompose the problem into three 2-class classification problem, utilizing improved indexing table thinning feature extraction algorithm, then using the support vector machine to optimize the three hyper-planes. Experimental results show that this algorithm improves the efficiency of fingerprint classification.