一种基于演化计算的在线手写签名验证算法实现

A new algorithm for dynamic handwriting signature verification based on evolutionary computation

提出了基于演化计算的在线手写签名验证算法。该算法将参考签名分割成曲线段,以一定长度的搜索窗在测试签名曲线上进行动态搜索,实现与参考签名曲线段自适应的动态分割与匹配。在算法中引进了演化计算中的分级和加速技术,使算法的搜索速度和匹配效果有了一定程度的提高。实验结果表明了该算法的有效性。

A new algorithm for dynamic handwriting signature verification was proposed based on evolutionary computation （EC）. The reference signature curve was divided into segments firstly. The adaptive dynamic segmentation and match between reference signature curve and test signature curve were implemented by dynamic search on the test signature curve with a search window of certain width. The theories of classification and acceleration in the EC were adopted in the basic evolutionary approach, which improved the search efficiency and matching result to a certain extent. The validity of the algorithm is proved by the experiment results.