Article ID Journal Published Year Pages File Type
530703 Pattern Recognition 2012 12 Pages PDF
Abstract

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.

► Novel method for the generation of synthetic on-line signature databases. ► Based on sound mathematical models. ► Thorough description of the theoretical framework and algorithms. ► It is general and may be adjusted to generate different types of signatures. ► Synthetically produced databases of great use for performance estimation.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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