|Title:||SM-DTW: Stability Modulated Dynamic Time Warping for signature verification||Authors:||Parziale, Antonio
Ferrer, Miguel A.
|UNESCO Clasification:||3307 Tecnología electrónica||Keywords:||Automatic signature verification
Handwriting computational model
|Issue Date:||2019||Project:||Generacion de Un Marco Unificado Para El Desarrollo de Patrones Biometricos de Comportamiento||Journal:||Pattern Recognition Letters||Conference:||18th Conference of the International-Graphonomics-Society (IGS 2017)||Abstract:||Building upon findings in computational model of handwriting learning and execution, we introduce the concept of stability to explain the difference between the actual movements performed during multiple execution of the subject’s signature, and conjecture that the most stable parts of the signature should play a paramount role in evaluating the similarity between a questioned signature and the reference ones during signature verification. We then introduce the Stability Modulated Dynamic Time Warping algorithm for incorporating the stability regions, i.e. the most similar parts between two signatures, into the distance measure between a pair of signatures computed by the Dynamic Time Warping for signature verification. Experiments were conducted on two datasets largely adopted for performance evaluation. Experimental results show that the proposed algorithm improves the performance of the baseline system and compares favourably with other top performing signature verification systems.||URI:||http://hdl.handle.net/10553/46135||ISSN:||0167-8655||DOI:||10.1016/j.patrec.2018.07.029||Source:||Pattern Recognition Letters [ISSN 0167-8655], v. 121, p. 113-122, (Abril 2019)|
|Appears in Collections:||Artículos|
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