Online Signature Verification on Mobile Device

Information Technology

This paper studies online signature verification on touch interface based these mobile devices. A simple and effectual method for signature verification is the developed. An online signature is represented with a discriminative feature vector derived from attributes of several histograms that can be computed in the linear time and the resulting signature template is compact and its requires constant space and the algorithm was first tested on the well known MCYT-100 and SUSIG datasets. The results describes that the performance of the proposed technique is comparable and often superior to state-of-art algorithms despite its simplicity, efficiency. In order to test the proposed method on finger drawn signatures on touch devices, and a dataset was collected from an uncontrolled environment, over multiple sessions. Experimental results on this dataset confirm the effectiveness of the proposed algorithm in mobile settings.

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