Paper
5 May 2009 Synthetic generation of handwritten signatures based on spectral analysis
Author Affiliations +
Abstract
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Javier Galbally, Julian Fierrez, Marcos Martinez-Diaz, and Javier Ortega-Garcia "Synthetic generation of handwritten signatures based on spectral analysis", Proc. SPIE 7306, Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI, 730629 (5 May 2009); https://doi.org/10.1117/12.817928
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CITATIONS
Cited by 14 scholarly publications.
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KEYWORDS
Biometrics

Databases

Signal processing

Model-based design

Eye models

Detection and tracking algorithms

Computing systems

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