Authors: Fang-Jun Luan, Kai Li, Si-Liang Ma
Addresses: Faculty of Information & Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China. ' Faculty of Information & Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China. ' Institute of Mathematics, Jilin University, Changchun 130012, China
Abstract: Online handwritten 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 online handwritten signature verification algorithm using improved DTW is presented. The weak point of classic DTW is that only the data points by warping the x-axis are considered but the differences on y-axis of two series are not considered. The 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.
Keywords: pattern recognition; online signatures; handwritten signatures; signature verification; time series; personal verification; biometrics; dynamic time warping; DTW.
International Journal of Modelling, Identification and Control, 2010 Vol.10 No.1/2, pp.81 - 86
Available online: 02 Jul 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article