Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45499
Title: Generation of Enhanced Synthetic Off-Line Signatures Based on Real On-Line Data
Authors: Diaz-Cabrera, Moises 
Gomez-Barrero, Marta
Morales, Aythami
Ferrer, Miguel A. 
Galbally, Javier
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: offline signature verification
Handwriting recognition
Biometric recognition
Issue Date: 2014
Journal: Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR
Conference: 14th International Conference on Frontiers in Handwriting Recognition (ICFHR) 
14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014 
Abstract: One of the main challenges of off-line signature verification is the absence of large databases. A possible alternative to overcome this problem is the generation of fully synthetic signature databases, not subject to legal or privacy concerns. In this paper we propose several approaches to the synthesis of off-line enhanced signatures from real dynamic information. These synthetic samples show a performance very similar to the one offered by real signatures, even increasing their discriminative power under the skilled forgeries scenario, one of the biggest challenges of handwriting recognition. Furthermore, the feasibility of synthetically increasing the enrolment sets is analysed, showing promising results.
URI: http://hdl.handle.net/10553/45499
ISBN: 9781479943340
ISSN: 2167-6445
DOI: 10.1109/ICFHR.2014.87
Source: Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR[ISSN 2167-6445],v. 2014-December (6981066), p. 482-487
Appears in Collections:Actas de congresos
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