Deep learning approach to generate offline handwritten signatures based on online samples

Author:

Melo Victor K.S.L.1,Bezerra Byron Leite Dantas1ORCID,Impedovo Donato2,Pirlo Giuseppe2ORCID,Lundgren Antonio1

Affiliation:

1. Polytechnic School, University of PernambucoRecifeBrazil

2. Dipartimento di InformaticaUniversità degli Studi di BariBariItaly

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference27 articles.

1. Automatic Signature Verification: The State of the Art

2. Hafemann L.G. Sabourin R. Oliveira L.S.: ‘Offline handwritten signature verification – literature review’ arXiv preprint arXiv:1507.07909 2015

3. On‐line signature verification using vertical signature partitioning;Cpałka K.;Expert Syst. Appl.,2014

4. Viard‐Gaudin C. Lallican P.M. Knerr S. et al. : ‘The IRESTE on/off (IRONOFF) dual handwriting database’.Proc. Fifth Int. Conf. Document Analysis and Recognition 1999 ICDAR'99 Bangalore India 1999 pp.455–458

5. Herrero J.G. Fierrez J. Díaz M.M. et al. : ‘Synthetic generation of handwritten signatures based on spectral analysis’.Proc. SPIE – The Int. Society for Optical Engineering. Society of Photo‐Optical Instrumentation Engineers Orlando USA 2009

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