Name
Abstract | ||
|---|---|---|
A video-based handwritten signature verification framework is proposed in this paper. Using a camera as the sensor has the advantage that the entire writing processes can be captured along with the signatures. The main contribution of this work is that writing postures are analyzed to achieve the verification purpose because the writing postures cannot be easily imitated or forged. The proposed system is able to achieve low false rejection rates while maintaining low false acceptance rates for database containing both unskilled and skilled imitation signatures. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1117/12.2030865 | Proceedings of SPIE |
Keywords | Field | DocType |
Writing Postures,Signature Verification,Motion Energy Image | Computer vision,Computer science,Speech recognition,Imitation,Artificial intelligence | Conference |
Volume | ISSN | Citations |
8878 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsu-Yung Cheng | 1 | 243 | 23.56 |
| Chih-Chang Yu | 2 | 32 | 8.93 |