Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

Methods of Alignment for On-Line Signature Verification

Authors
Xinghua Xia, Fangjun Luan, Shoujin Wang, Dafang Yang
Corresponding Author
Xinghua Xia
Available Online July 2015.
DOI
10.2991/lemcs-15.2015.375How to use a DOI?
Keywords
On-line signature verification; Alignment; DTW; SCLC-DTW
Abstract

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.

Copyright
© 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/).

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Volume Title
Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-6252-102-5
ISSN
1951-6851
DOI
10.2991/lemcs-15.2015.375How to use a DOI?
Copyright
© 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  -