5 May 2009 Synthetic generation of handwritten signatures based on spectral analysis
Author Affiliations +
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, Javier Galbally, Julian Fierrez, Julian Fierrez, Marcos Martinez-Diaz, Marcos Martinez-Diaz, Javier Ortega-Garcia, 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); doi: 10.1117/12.817928; https://doi.org/10.1117/12.817928


Texel-based image classification with orthogonal bases
Proceedings of SPIE (April 28 2016)
Depth aspect images for robust object recognition
Proceedings of SPIE (September 29 2003)
Biometric speaker classification
Proceedings of SPIE (October 12 2000)
Dissimilarity functions for behavior-based biometrics
Proceedings of SPIE (April 11 2007)
Adaptive model based 3 D target detection Part II...
Proceedings of SPIE (August 24 1992)

Back to Top