Anamorphic Signature Identification Based on Correlative Specific Area of Restored and Segmented Image with Transformable Gridding
Authors
Ning Wang1, Guoqiang Han
1School of Computer Science and Engineering, South China University of Technology, Guangzhou 510641, P. R. China
Corresponding Author
Ning Wang
Available Online October 2007.
- DOI
- 10.2991/iske.2007.92How to use a DOI?
- Keywords
- Anamorphic signature, Identification, specific area, Correlation coefficient, Transformable gridding
- Abstract
This paper proposed a method to identify the anamorphic signature. The signature is set on a transformable gridding. Moving the gridding in opposite direction with anamorphic direction, the anamorphic signature is restored. Meanwhile, the restored signature is segmented into equal-area sections by the gridding. The specific area is the ratio of strokes area to section area for each section. It is constant for every signature despite for the anamorphic signature. The correlation coefficient between identified and standard signature is calculated according to their specific areas. The high correlation coefficient expresses the high similarity between the identified and standard signature.
- Copyright
- © 2007, 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 - Ning Wang AU - Guoqiang Han PY - 2007/10 DA - 2007/10 TI - Anamorphic Signature Identification Based on Correlative Specific Area of Restored and Segmented Image with Transformable Gridding BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 540 EP - 544 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.92 DO - 10.2991/iske.2007.92 ID - Wang2007/10 ER -