Abstract A multi-feature based online signature verification algorithm is presented that synthesizes global features, segment features, force series and shape series. A novel digital tablet called F_Tablet is used to capture both the shape series and the three-dimensional force series. Firstly, global features are extracted from the signature and weight function of features is defined to select the personalized global features and separate the genuine signatures from the fake ones. A probability method is used based on global features. Then, the signature is segmented and the segment features are extracted. A hidden Markov model is established based on segment features. The force series and shape series are matched with dynamic time warping. Finally, the multi-feature is synthesized to verify the test signatures and the proposed algorithm achieves equal error rate of 1.5%.
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2009, Vol. 22 
