Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46135
Title: SM-DTW: Stability Modulated Dynamic Time Warping for signature verification
Authors: Parziale, Antonio
Diaz, Moises 
Ferrer, Miguel A. 
Marcelli, Angelo
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Automatic signature verification
Signature stability
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)
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