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Methods of Alignment for On-Line Signature Verification

Xinghua Xia, Fangjun Luan, Shoujin Wang, Dafang Yang
2015 Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science   unpublished

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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
more » ... 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.
doi:10.2991/lemcs-15.2015.375 fatcat:xzwk2ew5jfeqjpyrjrma7ufvea
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Xinghua Xia, Fangjun Luan, Shoujin Wang, Dafang Yang. "Methods of Alignment for On-Line Signature Verification." Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science (2015)