On-Line Handwritten Signature Verification Algorithm Based on Improved DTW

摘要：

On-line hand-written signature verification is widely used because of its celerity and convenience.It is the personal verification based on biometrics technology.It is the verification using information about the movement during writing signature,so it becomes an accepted method of personal verification.Basing on this thesis,an on-line hand-written signature verification algorithm using improved DTW is presented.The weak point of classic DTW is that the only data points by warping the x-axis is considered but the differences on yaxis of two series are not considered.Two situations above are considered in the improved DTW method in order to prevent this problem and the distance measure of DTW is modified based on improved DTW in this paper particularly.The result of experiment proves that this algorithm obtains a good verification effect.

关键词： Pattern recognition Dynamic Time Warping On-line hand-written signature verification Time series

作者: Fang-jun Luan Kai Li Si-liang Ma

作者单位: Faculty of Information & Control Engineering,Shenyang Jianzhu University,Shenyang 110168,China Institute of Mathematics,Jilin University,Changchun 130012,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）