Article ID Journal Published Year Pages File Type
536957 Pattern Recognition Letters 2005 7 Pages PDF
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
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