Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Ferrer, M.A. ; Diaz-Cabrera, M. ; Morales, A. ; Galbally, J. ; Gomez-Barrero, M. "Realistic synthetic off-line signature generation based on synthetic on-line data" in 47th International Carnahan Conference on Security Technology, Medellin, 2013, pp. 1-6 ; Proceedings of 47th International Carnahan Conference on Security Technology, Medellin, October 2013 ; A novel method for the generation of synthetic offline signatures is presented. The proposed algorithm follows a two steps scheme: first, the raw synthetic dynamic functions of the synthetic signature are generated; second, several ink and paper models are applied to transform the on-line data to realistic static signatures. The novel approach is validated using four different publicly available databases both real and synthetic. The experimental protocol includes the comparison of both types of signatures in terms of: i) performance evaluation of two competitive and totally different verification systems; and ii) visual appearance according to human observers. The experimental results show the high similarity existing between synthetically generated and humanly produced samples, and the potential of the proposed method for the study of the signature trait.