|Title:||Multidomain Verification of Dynamic Signatures Using Local Stability Analysis||Authors:||Pirlo, G.
|Keywords:||Static Signatures||Issue Date:||2015||Publisher:||2168-2291||Journal:||IEEE Transactions on Human-Machine Systems||Abstract:||This paper presents a new approach for online signature verification that exploits the potential of local stability information in handwritten signatures. Different from previous models, this approach classifies a signature using a multidomain strategy. A signature is first split into different segments based on the stability model of a signer. Then, according to the stability model, for each segment, the most profitable domain of representation for verification purposes is detected. In the verification stage, the authenticity of each segment of the unknown signature is evaluated in the most profitable domain of representation. The authenticity of the unknown signature is then determined by combining local verification decisions. The study was carried out on the signatures in the SUSIG database, and the experimental results, thus, obtained confirm the effectiveness of the proposed approach, when compared with others in the literature.||URI:||http://hdl.handle.net/10553/45486||ISSN:||2168-2291||DOI:||10.1109/THMS.2015.2443050||Source:||IEEE Transactions on Human-Machine Systems[ISSN 2168-2291],v. 45 (7145458), p. 805-810|
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