Methods of Alignment for On-Line Signature Verification
Xinghua Xia, Fangjun Luan, Shoujin Wang, Dafang Yang · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
S ize, location and rotation angle of on-line handwritten signature will have effects on the performance of verification.Methods of alignment for online signature verification are proposed in this paper, the size, location and rotation angle of test and reference signatures are aligned effectively to reduce the variations of different inputting.A method of S CLC-DTW with signature curves location constraint is proposed also to improved efficiency of similarity calculation.Several experiments are carried out on standard on-line signature dataset DB1, which consists of 5000 signatures from 100 individuals in total.The best result is given by EER=2.99%, which indicates the effectiveness of our proposed methods.