Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
536957 | Pattern Recognition Letters | 2005 | 7 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Hansheng Lei, Venu Govindaraju,