Synthetic on-line signature generation. Part I: Methodology and algorithms
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摘要
The theoretical framework and algorithms of a novel method for the generation of synthetic on-line signatures are presented. This model-based approach combines the spectral analysis of real signatures with the Kinematic Theory of rapid human movements in order to generate totally synthetic specimens. Two different algorithms are also described in order to produce duplicated samples from the synthetic master signatures, so that the generation scheme as a whole is able to produce in a complete automatic fashion huge synthetic databases. Typical examples of synthetic specimens are presented to highlight their human-like appearance. The validation protocol and the test results are presented and discussed in a companion paper.
论文关键词:On-line signature,Synthetic generation,Spectral analysis,Kinematic Theory of rapid human movements,Sigma-Lognormal model,Biometric recognition
论文评审过程:Received 9 September 2010, Revised 28 October 2011, Accepted 10 December 2011, Available online 22 December 2011.
论文官网地址:https://doi.org/10.1016/j.patcog.2011.12.011