Synthetic generation of handwritten signatures based on spectral analysis
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Society of Photo-Optical Instrumentation EngineersDate
2009-05-04Citation
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
10.1117/12.817928Funded by
This work was supported by Spanish MEC under project TEC2006-13141-C03-03.Editor's Version
http://dx.doi.org/10.1117/12.817928Subjects
Biometrics; Signature verification; Synthetic generation; TelecomunicacionesNote
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)
Rights
Copyright 2009 Society of Photo-Optical Instrumentation EngineersAbstract
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.
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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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