The MaD Lab and the – SVC-onGoing: Signature verification competition

Symbolic picture for the article. The link opens the image in a large view.

We are pleased to announce that the paper “SVC-onGoing: Signature verification competition” is now published in the Journal of Pattern Recognition.

Mohamad Wehbi has great experience in the topic of writing recognition, together with the expertise of Dario Zanca and Falk Pulsmeyer, the MaD Lab team took part in the first SVC Signature verification competition. The collaboration of the organizers and participants made this great publication possible.


The goal of SVC-onGoing is to evaluate the limits of on-line signature verification systems on popular scenarios (office/mobile) and writing inputs (stylus/finger) through large-scale public databases. It provides the research community with an open computing platform where researchers can easily benchmark their systems against the state of the art using public databases and common experimental protocols. The results achieved in the final evaluation stage of SVC-onGoing have proved the high potential of deep learning methods compared to traditional approaches such as Dynamic Time Warping (DTW).

Congratulations to all authors!

Ruben Tolosana, Ruben Vera-Rodriguez, Carlos Gonzalez-Garcia, Julian Fierrez, Aythami Morales, Javier Ortega-Garcia, Juan Carlos Ruiz-Garcia, Sergio Romero-Tapiador, Santiago Rengifo, Miguel Caruana, Jiajia Jiang, Songxuan Lai, Lianwen Jin, Yecheng Zhu, Javier Galbally, Moises Diaz, Miguel Angel Ferrer, Marta Gomez-Barrero, Ilya Hodashinsky, Konstantin Sarin, Artem Slezkin, Marina Bardamova, Mikhail Svetlakov, Mohammad Saleem, Cintia Lia Szcs, Bence Kovari, Falk Pulsmeyer, Mohamad Wehbi, Dario Zanca, Sumaiya Ahmad, Sarthak Mishra, Suraiya Jabin,
SVC-onGoing: Signature verification competition, Pattern Recognition, Volume 127, 2022, 108609, ISSN 0031-3203,