纸建议一个联机签名确认算法,通过哪个测试样品;模板签名能 optimizedly 被匹配,基于进化计算(EC ) 。第一,签名曲线片断的类似被定义,;变;规模变换也由于联机签名的 randoness 被介绍。第二,这篇论文提出在数学模型的建立以后匹配算法的签名确认。第三,算法的具体实现也基于 EC 被讨论。另外,影响变;匹配的结果上的规模充分在算法被考虑。最后,一个计算例子被给,;在测试样品之间的匹配的结果弯;模板签名曲线详细被分析。初步的实验表明签名确认问题的类型能被 EC 解决。
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.