Abstract
A large number of features have been proposed by researchers for on-line signature verification. However, little work has been done in measuring the consistency and discriminative power of these features. This paper presents a comparative study of features commonly used in on-line signature verification. A consistency model is developed by generalizing the existing feature-based measure to distance-based measure. Experimental results show that the simple features like X-, Y-coordinates, the speed of writing and the angle with the X-axis are amongst the most consistent.
| Original language | English |
|---|---|
| Pages (from-to) | 2483-2489 |
| Number of pages | 7 |
| Journal | Pattern Recognition Letters |
| Volume | 26 |
| Issue number | 15 |
| DOIs | |
| State | Published - Nov 2005 |
Keywords
- Feature consistency
- Feature selection
- On-line signature verification
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