A robustness verification system for mobile phone authentication based on gestures using Linear Discriminant Analysis


This article evaluates an authentication technique for mobiles based on gestures. Users create a remindful identifying gesture to be considered as their in-air signature. This work analyzes a database of 120 gestures of different vulnerability, obtaining an Equal Error Rate (EER) of 9.19% when robustness of gestures is not verified. Most of the errors in this EER come from very simple and easily forgeable gestures that should be discarded at enrollment phase. Therefore, an in-air signature robustness verification system using Linear Discriminant Analysis is proposed to infer automatically whether the gesture is secure or not. Different configurations have been tested obtaining a lowest EER of 4.01% when 45.02% of gestures were discarded, and an optimal compromise of EER of 4.82% when 19.19% of gestures were automatically rejected.

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Published in: 
Third World Congress on Nature and Biologically Inspired Computing (NaBIC), 2011 Salamanca, Spain. Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on p.p. 157-162
Publication date: 
October 2011
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