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A New Algorithm for On-Line Handwriting Signature Verification Based on Evolutionary Computation
引用本文:ZHENG Jianbin ZHU Guangxi. A New Algorithm for On-Line Handwriting Signature Verification Based on Evolutionary Computation[J]. 武汉大学学报:自然科学英文版, 2006, 11(3): 596-600. DOI: 10.1007/BF02836672
作者姓名:ZHENG Jianbin ZHU Guangxi
作者单位:Department of Electronics and Information Engineering,Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
基金项目:国家高技术研究发展计划(863计划)
摘    要:The paper proposes an on-line signature verification algorithm, through which test sample and template signatures can be optimizedly matched, based on evolutionary computation (EC). Firstly, the similarity of signature curve segment is defined, and shift and scale transforms are also introduced due to the randoness of on-line signature. Secondly, this paper puts forward signature verification matching algorithm after establishment of the mathematical model. Thirdly, the concrete realization of the algorithm based on EC is discussed as well. In addition, the influence of shift and scale on the matching result is fully considered in the algorithm. Finally, a computation example is given, and the matching results between the test sample curve and the template signature curve are analyzed in detail, The preliminary experiments reveal that the type of signature verification problem can be solved by EC.

关 键 词:在线签名 签名验证 进化估计 算法
文章编号:1007-1202(2006)03-0596-05
收稿时间:2005-08-28

A new algorithm for on-line handwriting signature verification based on evolutionary computation
Zheng Jianbin,Zhu Guangxi. A new algorithm for on-line handwriting signature verification based on evolutionary computation[J]. Wuhan University Journal of Natural Sciences, 2006, 11(3): 596-600. DOI: 10.1007/BF02836672
Authors:Zheng Jianbin  Zhu Guangxi
Affiliation:(1) Department of Electronics and Information Engineering, Huazhong University of Science and Technology, 430074 Wuhan Hubei, China
Abstract:The paper proposes an on-line signature verification algorithm, through which test sample and template signatures can be optimizedly matched, based on evolutionary computation (EC). Firstly, the similarity of signature curve segment is defined, and shift and scale transforms are also introduced due to the randoness of on-line signature. Secondly, this paper puts forward signature verification matching algorithm after establishment of the mathematical model. Thirdly, the concrete realization of the algorithm based on EC is discussed as well. In addition, the influence of shift and scale on the matching result is fully considered in the algorithm. Finally, a computation example is given, and the matching results between the test sample curve and the template signature curve are analyzed in detail. The preliminary experiments reveal that the type of signature verification problem can be solved by EC.
Keywords:on-line signature  signature verification  evolutionary computation
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