Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/40302
Title: Assessing the common authorship of a set of questioned signature images
Authors: Diaz, Moises 
Ferrer, Miguel A. 
UNESCO Clasification: 120325 Diseño de sistemas sensores
Keywords: Generation
Issue Date: 2017
Journal: Proceedings - International Carnahan Conference on Security Technology 
Conference: 2017 International Carnahan Conference on Security Technology, ICCST 2017 
Abstract: This paper assesses the common authorship of a set of questioned signature images. Our proposal consists in generating as many models as available questioned signatures. Each model is trained with one questioned signature and artificial duplicates worked out from it. The duplication procedure is based on neurocognitive distortions which are inspired from human writing processes. Once the similarity of each signature is evaluated with each model, a similarity score matrix is calculated. The cohesion of this matrix is used to assess whether all specimens were produced either by the same or by more than one writer.
URI: http://hdl.handle.net/10553/40302
ISBN: 9781538615850
ISSN: 1071-6572
DOI: 10.1109/CCST.2017.8167822
Source: 2017 International Carnahan Conference On Security Technology (Iccst)[ISSN 1071-6572], (2017)
Appears in Collections:Actas de congresos
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