|Title:||Generation of Enhanced Synthetic Off-Line Signatures Based on Real On-Line Data||Authors:||Diaz-Cabrera, Moises
Ferrer, Miguel A.
|UNESCO Clasification:||3307 Tecnología electrónica||Keywords:||offline signature verification
|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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