On-line Signature Verification Based on Gabor Features
文献类型：会议论文
| 作者 | Xue Ling; Yunhong Wang; Zhaoxiang Zhang
|
| 出版日期 | 2010-05-14 |
| 会议日期 | 14-15 May 2010 |
| 会议地点 | Shanghai, China |
| 关键词 | Support Vector Machine Signature Verification Gabor Features |
| 英文摘要 | In this paper, the local features obtained from the signature has been used to create the texture image based on the spatio-temporal correlation matrix. The Gabor wavelets exhibit desirable characteristics of spatial locality and orientation selectivity, and are optimally localized in the space and frequency domains. So it has been chosen to extract the Gabor features of the image. Signature is a small sample point problem and Support vector machine (SVM) is especially fit for two classes' problem of small sample. The Gabor features vector has been imported to the SVM classifier and the classification result is obtained. The methods proposed in this paper are validated on the SVC 2004 database and inspiring results are obtained. |
| 会议录 | WOCC 2010
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13308]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Xue Ling |
| 推荐引用方式 GB/T 7714 | Xue Ling,Yunhong Wang,Zhaoxiang Zhang. On-line Signature Verification Based on Gabor Features[C]. 见:. Shanghai, China. 14-15 May 2010. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。