Handwritten Text Verification on Mobile Devices

Abstract

In this work we propose an online verification system for both signature and isolated cursive words. The proposed system is designed to be used in a mobile device with limited computational capability. In the proposed scenario it is assumed that the user will use either his fingertip or a passive pen, therefore no azimuth or inclination information is available. Isolated words have certain desirable traits that can be more useful on a mobile device. Different isolated words can be used to verify the user in different applications, combining a knowledge-based security systems (i.e. passwords) with a behavioral biometric verification system. The proposed technique can achieve 4.39% of equal error rate for signatures and 6.5% for isolated words.