Synthetic generation of handwritten signatures based on spectral analysis
Entidad
UAM. Departamento de Ingeniería InformáticaEditor
Society of Photo-Optical Instrumentation EngineersFecha de edición
2009-05-04Cita
10.1117/12.817928
Proc. SPIE 7306, Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI. Ed. Craig S. Halvorson; Šárka O. Southern; B.V.K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross. 4 May 2009
ISSN
0277-786X (print); 1996-756X (online)ISBN
9780819475725DOI
10.1117/12.817928Financiado por
This work was supported by Spanish MEC under project TEC2006-13141-C03-03.Versión del editor
http://dx.doi.org/10.1117/12.817928Materias
Biometrics; Signature verification; Synthetic generation; TelecomunicacionesNota
Javier Galbally ; Julian Fierrez ; Marcos Martinez-Diaz ; Javier Ortega-Garcia; "Synthetic generation of handwritten signatures based on spectral analysis", Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI, Proc. SPIE 7306 (May 05, 2009); doi:10.1117/12.817928. Copyright 2009 Society of Photo‑Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.Proceedings of the V Optics and Photonics in Global Homeland Security; and VI Biometric Technology for Human Identification (Orlando, Florida, United States)
Derechos
Copyright 2009 Society of Photo-Optical Instrumentation EngineersResumen
A new method to generate synthetic online signatures is presented. The algorithm uses a parametrical model to generate the synthetic Discrete Fourier Transform (DFT) of the trajectory signals, which are then refined in the time domain and completed with a synthetic pressure function. Multiple samples of each signature are created so that synthetic databases may be produced. Quantitative and qualitative results are reported, showing that, in addition to presenting a very realistic appearance, the synthetically generated signatures have very similar characteristics to those that enable the recognition of real signatures.
Lista de ficheros
Google Scholar:Galbally Herrero, Javier
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Fiérrez Aguilar, Julián
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Martínez Díaz, Marcos
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Ortega García, Javier
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