On-line Signature Verification using Graph Representation
文献类型：会议论文
| 作者 | Kaiyue Wang; Yunhong Wang; Zhaoxiang Zhang
|
| 出版日期 | 2011-08-12 |
| 会议日期 | 12-15 August 2011 |
| 会议地点 | Hefei, China |
| 关键词 | Forgery Training Feature Extraction Cost Function Hidden Markov Models Support Vector Machines |
| 英文摘要 | 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. |
| 会议录 | ICIG 2011
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13283]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Zhaoxiang Zhang |
| 推荐引用方式 GB/T 7714 | Kaiyue Wang,Yunhong Wang,Zhaoxiang Zhang. On-line Signature Verification using Graph Representation[C]. 见:. Hefei, China. 12-15 August 2011. |
入库方式： OAI收割
来源：自动化研究所
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