Offline Handwritten Signature Verification - Literature Review
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Abstract (arXiv)
The area of Handwritten Signature Verification has been broadly researched in the last decades, but remains an open research problem. The objective of signature verification systems is to discriminate if a given signature is genuine (produced by the claimed individual), or a forgery (produced by an impostor). This has demonstrated to be a challenging task, in particular in the offline (static) scenario, that uses images of scanned signatures, where the dynamic information about the signing process is not available. Many advancements have been proposed in the literature in the last 5-10 years, most notably the application of Deep Learning methods to learn feature representations from signature images. In this paper, we present how the problem has been handled in the past few decades, analyze the recent advancements in the field, and the potential directions for future research.
Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Jul 2015.
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Citing papers per year: 2021: 1; 2022: 4; 2023: 2; 2024: 6; 2025: 1; 2026: 1.
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- 2024A Perspective Analysis of Handwritten Signature Technologycited by 12
- 2022SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verificationcited by 8
- 2022SWIS: Self-Supervised Representation Learning For Writer Independent Offline Signature Verificationcited by 7
- 2024Offline Handwritten Signature Verification Using a Stream-Based Approachcited by 2
- 2021Fully-Automatic Pipeline for Document Signature Analysis to Detect Money Laundering Activitiescited by 1
- 2022Writer Recognition Using Off-line Handwritten Single Block Characterscited by 1
- 2024Offline Signature Verification Based on Feature Disentangling Aided Variational Autoencodercited by 1
- 2022Revealing Reliable Signatures by Learning Top-Rank Pairscited by 0
- 2023Leveraging Expert Models for Training Deep Neural Networks in Scarce Data Domains: Application to Offline Handwritten Signature Verificationcited by 0
- 2023Deep Generative Attacks and Countermeasures for Data-Driven Offline Signature Verificationcited by 0
- 2024Consensus-Threshold Criterion for Offline Signature Verification using Convolutional Neural Network Learned Representationscited by 0
- 2024Investigating the Common Authorship of Signatures by Off-Line Automatic Signature Verification Without the Use of Reference Signaturescited by 0
3 more
- 2024Block Induced Signature Generative Adversarial Network (BISGAN): Signature Spoofing Using GANs and Their Evaluationcited by 0
- 2025Online Handwritten Signature Verification Based on Temporal-Spatial Graph Attention Transformercited by 0
- 2026ICDAR 2026 Competition on Writer Identification and Pen Classification from Hand-Drawn Circlescited by 0
- 2026ICDAR 2026 Competition on Writer Identification and Pen Classification from Hand-Drawn Circles8 May 2026
- 2025Online Handwritten Signature Verification Based on Temporal-Spatial Graph Attention Transformer22 Oct 2025
- 2024Offline Handwritten Signature Verification Using a Stream-Based Approach10 Nov 2024
- 2024Block Induced Signature Generative Adversarial Network (BISGAN): Signature Spoofing Using GANs and Their Evaluation8 Oct 2024
- 2024Offline Signature Verification Based on Feature Disentangling Aided Variational Autoencoder29 Sep 2024
- 2024Investigating the Common Authorship of Signatures by Off-Line Automatic Signature Verification Without the Use of Reference Signatures23 May 2024
- 2024A Perspective Analysis of Handwritten Signature Technology22 May 2024
- 2024Consensus-Threshold Criterion for Offline Signature Verification using Convolutional Neural Network Learned Representations5 Jan 2024
- 2023Deep Generative Attacks and Countermeasures for Data-Driven Offline Signature Verification2 Dec 2023
- 2023Leveraging Expert Models for Training Deep Neural Networks in Scarce Data Domains: Application to Offline Handwritten Signature Verification2 Aug 2023
- 2022Revealing Reliable Signatures by Learning Top-Rank Pairs17 Mar 2022
- 2022SWIS: Self-Supervised Representation Learning For Writer Independent Offline Signature Verification26 Feb 2022
3 more
- 2022Writer Recognition Using Off-line Handwritten Single Block Characters25 Jan 2022
- 2022SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verification25 Jan 2022
- 2021Fully-Automatic Pipeline for Document Signature Analysis to Detect Money Laundering Activities29 Jul 2021
- 2024A Perspective Analysis of Handwritten Signature Technologycited by 12
- 2022SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verificationcited by 8
- 2022SWIS: Self-Supervised Representation Learning For Writer Independent Offline Signature Verificationcited by 7
- 2024Offline Handwritten Signature Verification Using a Stream-Based Approachcited by 2
- 2021Fully-Automatic Pipeline for Document Signature Analysis to Detect Money Laundering Activitiescited by 1
- 2022Writer Recognition Using Off-line Handwritten Single Block Characterscited by 1
- 2024Offline Signature Verification Based on Feature Disentangling Aided Variational Autoencodercited by 1
- 2022Revealing Reliable Signatures by Learning Top-Rank Pairscited by 0
- 2023Leveraging Expert Models for Training Deep Neural Networks in Scarce Data Domains: Application to Offline Handwritten Signature Verificationcited by 0
- 2023Deep Generative Attacks and Countermeasures for Data-Driven Offline Signature Verificationcited by 0
- 2024Consensus-Threshold Criterion for Offline Signature Verification using Convolutional Neural Network Learned Representationscited by 0
- 2024Investigating the Common Authorship of Signatures by Off-Line Automatic Signature Verification Without the Use of Reference Signaturescited by 0
12 most cited of 15 All 15 (JSON)
- 2026ICDAR 2026 Competition on Writer Identification and Pen Classification from Hand-Drawn Circles8 May 2026
- 2025Online Handwritten Signature Verification Based on Temporal-Spatial Graph Attention Transformer22 Oct 2025
- 2024Offline Handwritten Signature Verification Using a Stream-Based Approach10 Nov 2024
- 2024Block Induced Signature Generative Adversarial Network (BISGAN): Signature Spoofing Using GANs and Their Evaluation8 Oct 2024
- 2024Offline Signature Verification Based on Feature Disentangling Aided Variational Autoencoder29 Sep 2024
- 2024Investigating the Common Authorship of Signatures by Off-Line Automatic Signature Verification Without the Use of Reference Signatures23 May 2024
- 2024A Perspective Analysis of Handwritten Signature Technology22 May 2024
- 2024Consensus-Threshold Criterion for Offline Signature Verification using Convolutional Neural Network Learned Representations5 Jan 2024
- 2023Deep Generative Attacks and Countermeasures for Data-Driven Offline Signature Verification2 Dec 2023
- 2023Leveraging Expert Models for Training Deep Neural Networks in Scarce Data Domains: Application to Offline Handwritten Signature Verification2 Aug 2023
- 2022Revealing Reliable Signatures by Learning Top-Rank Pairs17 Mar 2022
- 2022SWIS: Self-Supervised Representation Learning For Writer Independent Offline Signature Verification26 Feb 2022
12 newest of 15 All 15 (JSON)