English

SVC-onGoing: Signature Verification Competition

Computer Vision and Pattern Recognition 2022-02-23 v2 Human-Computer Interaction

Abstract

This article presents SVC-onGoing, an on-going competition for on-line signature verification where researchers can easily benchmark their systems against the state of the art in an open common platform using large-scale public databases, such as DeepSignDB and SVC2021_EvalDB, and standard experimental protocols. SVC-onGoing is based on the ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021), which has been extended to allow participants anytime. 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. Three different tasks are considered in the competition, simulating realistic scenarios as both random and skilled forgeries are simultaneously considered on each task. The results obtained in SVC-onGoing prove the high potential of deep learning methods in comparison with traditional methods. In particular, the best signature verification system has obtained Equal Error Rate (EER) values of 3.33% (Task 1), 7.41% (Task 2), and 6.04% (Task 3). Future studies in the field should be oriented to improve the performance of signature verification systems on the challenging mobile scenarios of SVC-onGoing in which several mobile devices and the finger are used during the signature acquisition.

Keywords

Cite

@article{arxiv.2108.06090,
  title  = {SVC-onGoing: Signature Verification Competition},
  author = {Ruben Tolosana and Ruben Vera-Rodriguez and Carlos Gonzalez-Garcia and Julian Fierrez and Aythami Morales and Javier Ortega-Garcia and Juan Carlos Ruiz-Garcia and Sergio Romero-Tapiador and Santiago Rengifo and Miguel Caruana and Jiajia Jiang and Songxuan Lai and Lianwen Jin and Yecheng Zhu and Javier Galbally and Moises Diaz and Miguel Angel Ferrer and Marta Gomez-Barrero and Ilya Hodashinsky and Konstantin Sarin and Artem Slezkin and Marina Bardamova and Mikhail Svetlakov and Mohammad Saleem and Cintia Lia Szucs and Bence Kovari and Falk Pulsmeyer and Mohamad Wehbi and Dario Zanca and Sumaiya Ahmad and Sarthak Mishra and Suraiya Jabin},
  journal= {arXiv preprint arXiv:2108.06090},
  year   = {2022}
}

Comments

arXiv admin note: substantial text overlap with arXiv:2106.00739

R2 v1 2026-06-24T05:05:15.802Z