Elsevier

Pattern Recognition

SVC-onGoing: Signature verification contest

Under a Creative Commons license

Open access

Highlights

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SVC-onGoing is the commencement on-going competition for on-line signature verification.

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Researchers can easily criterion their systems using public databases and platform.

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Fair comparison of the state of the fine art: traditional vs deep learning approaches.

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Assay of pop scenarios (role/mobile) and writing inputs (stylus/finger).

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Analysis of multiple types of attacks.

Abstract

This article presents SVC-onGoing1, an on-going contest 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 equally DeepSignDBii and SVC2021_EvalDB3, 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 permit 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-calibration public databases. Three different tasks are considered in the contest, simulating realistic scenarios equally both random and skilled forgeries are simultaneously considered on each chore. The results obtained in SVC-onGoing prove the loftier potential of deep learning methods in comparing with traditional methods. In detail, the best signature verification arrangement has obtained Equal Mistake Rate (EER) values of 3.33% (Task i), seven.41% (Task two), and vi.04% (Task 3). Futurity studies in the field should be oriented to better 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 conquering.

Keywords

SVC-onGoing

SVC 2021

Biometrics

Handwriting

Signature verification

DeepSignDB

SVC2021_EvalDB

Cited by (0)

Ruben Tolosana received the Yard.Sc. and Ph.D. degrees in 2014 and 2019. Since 2021, he is Banana Professor at Universidad Autonoma de Madrid. His research interests are mainly focused on pattern recognition and machine learning, particularly in the areas of handwritten signature, human-computer interaction, DeepFakes, biometrics, and privacy.

Ruben Vera-Rodriguez received the Ph.D. degree in electric and electronic engineering from Swansea Academy, U.K., in 2010. Currently he is an Associate Professor at Universidad Autonoma de Madrid, Espana. His research interests include signal and prototype processing, auto learning, and biometrics. He has authorized more than 130 scientific manufactures.

Carlos Gonzalez-Garcia received his B.Sc. caste in Computer Science Engineering science and his 1000.Sc. caste from the Universidad Autonoma de Madrid, where he currently a Ph.D. pupil at the BiDA Lab research group. His work is focused on machine learning, handwritten biometrics and Human-Figurer Interaction.

Julian Fierrez received the G.Sc. and Ph.D. degrees in 2001 and 2006, respectively. He is at present Acquaintance Professor at UAM. His research interests include signal and image processing, design recognition, security, and biometrics. He received the IAPR Young Biometrics Investigator Award 2017 and is Associate Editor of Elseviers Information FUSION.

Aythami Morales Moreno Thousand.Sc. in Electric Engineering, and Ph.D from the Universidad de LPGC in 2006 and 2011. Since 2017, he is Associate Professor with the Universidad Autonoma de Madrid. In his work, he combines his interests in auto learning, biometric processing, security, and privacy.

Javier Ortega-Garcia received the M.Sc. and Ph.D. degrees in electrical applied science in 1989 and 1996, respectively. He is founder and co-director of the Biometric Recognition Grouping ATVS. His inquiry interests are focused on biometrics signal processing: on-line signature verification, speaker recognition, spider web-based biometrics, data fusion and multibiometrics.

Juan Carlos Ruiz-Garcia received his B.Sc. degree in Computer Science Engineering science from the Universidad de Granada and got the M.Sc. caste from the Universidad Autonoma de Madrid, where he currently a PhD educatee at the research group BiDA Lab focusing his research on e-Learning, e-Health and Computer-Human Interaction.

Sergio Romero-Tapiador received the BSc in Computer science and Engineering in 2020 from Universidad Autonoma de Madrid. Since September 2019, he is a fellow member of the Biometrics and Information Pattern Analytics - BiDA Lab. Among the inquiry activities, he is mainly working on Blueprint Recognition and Machine Learning.

Santiago Rengifo received a 2-yr degree in Web and Application development in 2020. He is currently working at Biometrics and Data Pattern Analytics (BiDA-Lab) at Universidad Autonoma de Madrid equally a laboratory assistant.

Miguel Caruana received his G.Sc. degree in Telecommunication Applied science in 2021 from Universidad Autónoma de Madrid. He has been collaborating with the Biometrics and Data Blueprint Analytics (BiDA-Lab) at the Universidad Autonoma de Madrid through a research grant during his studies.

Jiajia Jiang received the B.Due south. caste in South Mainland china Academy of Technology in 2020, and she is currently pursuing the master degree in betoken and information processing. Her research interests include machine learning and handwritten biometric recognition.

Songxuan Lai received the Ph.D degree in electronics and information applied science from S China University of Technology in 2021. He is currently working as an bogus intelligence engineer at Huawei Cloud. His research interests include handwriting assay and recognition, OCR systems, and machine learning.

Lianwen Jin received the Ph.D. degree from S China University of Technology in 1996. He is professor in the College of Electronic and Information Technology at the South Mainland china University of Engineering. He is the author of more than 200 scientific papers and serves every bit AC/SPC/PC in many international conferences.

Yecheng Zhu received the primary degree in Southward Red china University of Technology in 2021. His research interests include automobile learning, handwriting analysis and computer vision.

Javier Galbally received the Ph.D. degree in Electric Engineering science in 2009. In 2013, he joined the European Commission in DG JRC, where he is currently a Scientific/Technical Officer. He is the Chair of the EAB Research Projects Briefing and has authored over 100 publications mainly focused on biometrics.

Moises Diaz received the Grand.Tech., K.Sc., and Ph.D. degrees in engineering from Universidad de Las Palmas de Gran Canaria, Spain, in 2010, 2011, and 2016, respectively. He joined that University equally an Associate Professor in 2021. His electric current research interests include pattern recognition, document assay, handwriting recognition, and biometrics.

Miguel Angel Ferrer received an Yard.Sc. and a Ph.D. from the Universidad Politcnica de Madrid, Spain, in 1988 and 1994. He joined the University of Las Palmas de Gran Canaria, Kingdom of spain, in 1989, where he is currently a Full Professor. His research interests include pattern recognition, biometrics, and computer vision.

Marta Gomez-Barrero received the Ph.D. degree in Electrical Engineering in 2016. Since 2020, she is a Professor for Information technology-Security and technical data privacy at the Hochschule Ansbach, in Federal republic of germany. She has received several distinctions, including: EAB European Biometric Industry Award 2015 and All-time Newspaper Award at ICB 2015.

Ilya Hodashinsky received the Ph.D. caste in 1984, the Dr. Sc. degree in 2004 from the Tomsk State University of Control Systems and Radioelectronics (TUSUR), Russian federation, and the Professor title at the 2011. His research interests include computational intelligence, fuzzy modeling, and pattern recognition.

Konstantin Sarin graduated from the Faculty of Control Systems, TUSUR. Received the Ph.D. degree in 2016. He is assistant professor of the Section of Circuitous Information Security of Calculator Systems in TUSUR His inquiry interests include computational intelligence, fuzzy modeling, and machine learning.

Artem Slezkin received the engineer'due south degree at specialty Information Security of Automated Banking TUSUR, in 2019. He is currently pursuing the PhD degree with the Laboratory of Biological Indicate Extraction, Assay and Management at TUSUR. His inquiry interests include blueprint recognition, machine learning, and fuzzy systems.

Marina Bardamova graduated from the Faculty of Security, TUSUR in 2017. She is a lecturer of the Department of Complex Information Security of Computer Systems in TUSUR and a inferior researcher of the Laboratory. Her main inquiry interests include computational intelligence, data mining, fuzzy modeling, and machine learning.

Mikhail Svetlakov received the Specialist of Information Security degree from TUSUR. He is currently a Junior Research Banana at the Laboratory for drove, analysis, and control of biological signals, TUSUR. Enquiry interests - fuzzy systems, computer vision.

Mohammad Saleem is a Ph.D. candidate in computer engineering at Budapest University of Technology and Economic science, Republic of hungary. His research interests include online signature verification. Previously, he worked as a researcher and teacher assistant at Yarmouk University, Irbid, Jordan. He is a member of the Jordanian engineers' association.

Cintia Lia Szucs is a Ph.D. candidate in software applied science at Budapest University of Engineering science and Economics, Republic of hungary. Her research interests include online signature verification. She is a member of the Hungarian Association for Prototype Processing and Pattern Recognition, a member of the John von Neumann Computer Order.

Bence Kovari received his Ph.D. degree in software engineering from Budapest University of Technology and Economic science, Hungary, in 2013, studying the automated verification of handwritten signatures. He is a member of the Hungarian Association for Image Processing and Pattern Recognition and a member of the John von Neumann Computer Society.

Falk Pulsmeyer received his B.Sc. and M.Sc. Degrees in Mathematics from the RWTH Aachen University. He recently started at the MaD Lab, FAU Erlangen-Nrnberg, as PhD student with a focus on Machine Learning and Medical Engineering.

Mohamad Wehbi received B.Eng. in Computer Engineering and Information science from the Beirut Arab University, Lebanon. He received his Chiliad.Sc. Degree in Robotics and Automation Engineering from the Academy of Siena, Italy. He is currently a researcher pursuing his PhD at the AIBE Department, FAU Erlangen-Nrnberg, Erlangen, Germany.

Dario Zanca received B.Sc. and M.Sc. Degrees in Mathematics from the Academy of Palermo, Italia, and Ph.D. in Smart Computing from the University of Florence, Italy. He worked every bit postdoc researcher at the DSMCN, University of Siena, Italy. He is currently postdoc researcher at AIBE Section, FAU Erlangen-Nrnberg, Erlangen, Deutschland.

Sumaiya Ahmad received B.Sc. in Reckoner application from Aligarh Muslim University, India in 2015. She received master in computer application (MCA) from Department of Computer Science, JMI, Delhi, Bharat in 2018 and currently pursuing Ph.D. in information science from here. Her inquiry interests include AI, biometrics, and Information Security.

Sarthak Mishra received BCA from Indraprastha University, New Delhi, India in 2015. He received MCA from Department of Information science, JMI, New Delhi, India in 2018 and currently pursuing Ph.D. in computer science from here. His research interests include AI, biometrics, video surveillance, and oversupply monitoring.

Suraiya Jabin received MCA in 2002 and Ph.D. in 2009 from Jamia Hamdard university, Delhi, Bharat. In December 2006, she joined as Assistant Professor in JMI, India where she continues to work, every bit a Professor since Nov 2019. Her research interests include AI, behavioral biometrics, and computational biological science.

© 2022 The Author(s). Published by Elsevier Ltd.