Name
Abstract | ||
|---|---|---|
A new signature based authentication approach is described, where signing clips are analyzed. Using an web-camera a series of frames is acquired that allows investigating the dynamics of the complex "hand-pen". For this a set of features of the hand, the pen and their mutual disposition at the time of signing is derived. Classification and verification decision-making rule based on the Mahalanobis distance has been used. A class-related feature weighting is proposed for the improvement of accuracy. A Gaussian-based model for the description of skin color is suggested. The preliminary experimental results have confirmed the reliability of the approach. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74549-5_63 | ICB |
Keywords | Field | DocType |
signature-based authentication,preliminary experimental result,verification decision-making rule,new signature,mahalanobis distance,authentication approach,gaussian-based model,class-related feature weighting,new approach,mutual disposition,skin color,rule based,color model | Computer vision,Rule-based system,Weighting,Authentication,Pattern recognition,Computer science,Speech recognition,Mahalanobis distance,Gaussian,Artificial intelligence,Biometrics,CLIPS | Conference |
Volume | ISSN | ISBN |
4642 | 0302-9743 | 3-540-74548-3 |
Citations | PageRank | References |
2 | 0.39 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Georgi Gluhchev | 1 | 41 | 5.53 |
| M. Savov | 2 | 4 | 1.50 |
| Ognian Boumbarov | 3 | 14 | 3.71 |
| Diana Vasileva | 4 | 2 | 0.39 |