Methods of Alignment for On-Line Signature Verification
Xinghua Xia, Fangjun Luan, Shoujin Wang, Dafang Yang
Available Online July 2015.
- 10.2991/lemcs-15.2015.375How to use a DOI?
- On-line signature verification; Alignment; DTW; SCLC-DTW
Size, location and rotation angle of on-line handwritten signature will have effects on the performance of verification. Methods of alignment for on-line 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 SCLC-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.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xinghua Xia AU - Fangjun Luan AU - Shoujin Wang AU - Dafang Yang PY - 2015/07 DA - 2015/07 TI - Methods of Alignment for On-Line Signature Verification BT - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science PB - Atlantis Press SP - 1835 EP - 1838 SN - 1951-6851 UR - https://doi.org/10.2991/lemcs-15.2015.375 DO - 10.2991/lemcs-15.2015.375 ID - Xia2015/07 ER -