Robust Handwritten Signature Representation with Continual Learning of Synthetic Data over Predefined Real Feature Space-Reference-Cited by-同舟云学术

Robust Handwritten Signature Representation with Continual Learning of Synthetic Data over Predefined Real Feature Space

Published:2024 Issue: Volume: Page:233-249
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Viana Talles B.^ORCID,Souza Victor L. F.^ORCID,Oliveira Adriano L. I.^ORCID,Cruz Rafael M. O.^ORCID,Sabourin Robert^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-70536-6_14

Reference18 articles.

1. Arab, N., Nemmour, H., Chibani, Y.: Multiscale fusion of histogram-based features for robust off-line handwritten signature verification. In: 2020 IEEE/ACS 17th International Conference on Computer Systems and Applications (AICCSA), pp. 1–5 (2020)

2. Arab, N., Nemmour, H., Chibani, Y.: A new synthetic feature generation scheme based on artificial immune systems for robust offline signature verification. Expert Syst. Appl. 213, 119306 (2023)

3. Bouamra, W., Diaz, M., Ferrer, M.A., Nini, B.: Spiral based run-length features for offline signature verification. In: Carmona-Duarte, C., Diaz, M., Ferrer, M.A., Morales, A. (eds.) Intertwining Graphonomics with Human Movements, pp. 26–41. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-19745-1_3

4. Ferrer, M.A., Diaz, M., Carmona-Duarte, C., Morales, A.: A behavioral handwriting model for static and dynamic signature synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1041–1053 (2017)

5. Fuglede, B., Topsoe, F.: Jensen-Shannon divergence and Hilbert space embedding. In: International Symposium on Information Theory, ISIT 2004, Proceedings, p. 31 (2004)