| On-line Signature Verification using Graph Representation | |
Kaiyue Wang; Yunhong Wang; Zhaoxiang Zhang
| |
| 2011-08-12 | |
| Conference Name | International Conference on Image and Graphics |
| Source Publication | ICIG 2011 |
| Conference Date | 12-15 August 2011 |
| Conference Place | Hefei, China |
| Abstract | This paper proposes a novel approach of on-line signature verification. Firstly, on-line signatures are represented by a series of graphs, whose nodes and edges describe certain properties at sample points and relationship between points respectively. Then, graph matching techniques are introduced to compute edit distance between graphs, which measures the similarity of graphs. Finally, having been able to compare any two signatures through the last two steps, user-dependent classifiers are trained using limited genuine signatures. The proposed method is tested on SUSIG online signature database and shows promising performance. |
| Keyword | Forgery Training Feature Extraction Cost Function Hidden Markov Models Support Vector Machines |
| Document Type | 会议论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/13283 |
| Collection | 类脑智能研究中心 |
| Corresponding Author | Zhaoxiang Zhang |
| Recommended Citation GB/T 7714 | Kaiyue Wang,Yunhong Wang,Zhaoxiang Zhang. On-line Signature Verification using Graph Representation[C],2011. |
| Files in This Item: | There are no files associated with this item. | |||||
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