A comparative study on the consistency of features in on-line signature verification

Authors:
Hansheng Lei;Venu Govindaraju
Affiliations:
CUBS, Center for Unified Biometrics and Sensors, State University of New York at Buffalo, Amherst, NY 14260, USA;CUBS, Center for Unified Biometrics and Sensors, State University of New York at Buffalo, Amherst, NY 14260, USA
Venue:
Pattern Recognition Letters
Year:
2005

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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.