mlsanityData to 7 Oct 2026

ICDAR 2021 Competition on On-Line Signature Verification

arXiv 2106.00739 ↗First posted 1 Jun 2021cs.CV cs.HCcited by 8

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Abstract (arXiv)

This paper describes the experimental framework and results of the ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021). The goal of SVC 2021 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 2021 prove the high potential of deep learning methods. In particular, the best on-line signature verification system of SVC 2021 obtained Equal Error Rate (EER) values of 3.33% (Task 1), 7.41% (Task 2), and 6.04% (Task 3). SVC 2021 will be established as an on-going competition, 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.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 9 of its 50 references that are in the map. First posted on arXiv 1 Jun 2021.

Builds on

9 of 50 references.

References · 9

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2017Soft-DTW: a Differentiable Loss Function for Time-Seriescited by 265
  3. 2016A Primer on the Signature Method in Machine Learningcited by 100
  4. 2020DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representationscited by 26
  5. 2020DeepSign: Deep On-Line Signature Verificationcited by 23
  6. 2020BioTouchPass2: Touchscreen Password Biometrics Using Time-Aligned Recurrent Neural Networkscited by 19
  7. 2019SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verificationcited by 9
  8. 2019Biometric Template Storage with Blockchain: A First Look into Cost and Performance Tradeoffscited by 6
  9. 2019Exploiting Complexity in Pen- and Touch-based Signature Biometricscited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 4; 2025: 1; 2026: 1.

8 papers.

  1. 2021SVC-onGoing: Signature Verification Competitioncited by 17
  2. 2022MSDS: A Large-Scale Chinese Signature and Token Digit String Dataset for Handwriting Verificationcited by 7
  3. 2024Neural network modelling of kinematic and dynamic features for signature verificationcited by 2
  4. 2024On the use of first and second derivative approximations for biometric online signature recognitioncited by 1
  5. 2024Explainable offline automatic signature verifier to support forensic handwriting examinerscited by 0
  6. 2024Block Induced Signature Generative Adversarial Network (BISGAN): Signature Spoofing Using GANs and Their Evaluationcited by 0
  7. 2025Online Signature Verification based on the Lagrange formulation with 2D and 3D robotic modelscited by 0
  8. 2026Online Signature Verification Using Augmented Path Signature and T-Mambacited by 0