Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45505
Title: Realistic synthetic off-line signature generation based on synthetic on-line data
Authors: Ferrer, Miguel A. 
Diaz-Cabrera, Moises 
Morales, Aythami
Galbally, Javier
Gomez-Barrero, Marta
UNESCO Clasification: 2405 Biometría
Keywords: handwriting recognition
security of data
Issue Date: 2013
Publisher: 1071-6572
Journal: Proceedings - International Carnahan Conference on Security Technology 
Conference: 47th International Carnahan Conference on Security Technology (ICCST) 
2013 47th International Carnahan Conference on Security Technology, ICCST 2013 
Abstract: A novel method for the generation of synthetic offline signatures is presented. The proposed algorithm follows a two steps scheme: first, the raw synthetic dynamic functions of the synthetic signature are generated; second, several ink and paper models are applied to transform the on-line data to realistic static signatures. The novel approach is validated using four different publicly available databases both real and synthetic. The experimental protocol includes the comparison of both types of signatures in terms of: i) performance evaluation of two competitive and totally different verification systems; and ii) visual appearance according to human observers. The experimental results show the high similarity existing between synthetically generated and humanly produced samples, and the potential of the proposed method for the study of the signature trait.
URI: http://hdl.handle.net/10553/45505
ISBN: 9781479908899
ISSN: 1071-6572
DOI: 10.1109/CCST.2013.6922041
Source: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (6922041)
Appears in Collections:Actas de congresos
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