mlsanityData to 14 Oct 2026

A Perspective Analysis of Handwritten Signature Technology

arXiv 2405.13555 ↗First posted 22 May 2024cs.CVcited by 12

Not on the map. Why?

Abstract (arXiv)

Handwritten signatures are biometric traits at the center of debate in the scientific community. Over the last 40 years, the interest in signature studies has grown steadily, having as its main reference the application of automatic signature verification, as previously published reviews in 1989, 2000, and 2008 bear witness. Ever since, and over the last 10 years, the application of handwritten signature technology has strongly evolved, and much research has focused on the possibility of applying systems based on handwritten signature analysis and processing to a multitude of new fields. After several years of haphazard growth of this research area, it is time to assess its current developments for their applicability in order to draw a structured way forward. This perspective reports a systematic review of the last 10 years of the literature on handwritten signatures with respect to the new scenario, focusing on the most promising domains of research and trying to elicit possible future research directions in this subject.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 8 of its 284 references that are in the map. First posted on arXiv 22 May 2024.

Builds on

8 of 284 references.

References · 8

  1. 2017SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verificationcited by 31
  2. 2021BiosecurID: a multimodal biometric databasecited by 21
  3. 2017Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networkscited by 20
  4. 2015Offline Handwritten Signature Verification - Literature Reviewcited by 15
  5. 2017Online Signature Verification using Recurrent Neural Network and Length-normalized Path Signaturecited by 7
  6. 2024Static and Dynamic Synthesis of Bengali and Devanagari Signaturescited by 7
  7. 2016Writer-independent Feature Learning for Offline Signature Verification using Deep Convolutional Neural Networkscited by 6
  8. 2016UTSig: A Persian Offline Signature Datasetcited by 5

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 4; 2025: 6; 2026: 2.

12 papers.

  1. 2025Privacy-Preserving Biometric Verification with Handwritten Random Digit Stringcited by 4
  2. 2024Writing Order Recovery in Complex and Long Static Handwritingcited by 3
  3. 2024Offline Handwritten Signature Verification Using a Stream-Based Approachcited by 2
  4. 2024On the use of first and second derivative approximations for biometric online signature recognitioncited by 1
  5. 2025Anthropomorphic Features for On-Line Signaturescited by 1
  6. 2025Capturing More: Learning Multi-Domain Representations for Robust Online Handwriting Verificationcited by 1
  7. 2024Investigating the Common Authorship of Signatures by Off-Line Automatic Signature Verification Without the Use of Reference Signaturescited by 0
  8. 2025Online Signature Verification based on the Lagrange formulation with 2D and 3D robotic modelscited by 0
  9. 2025Quasi-Synthetic Riemannian Data Generation for Writer-Independent Offline Signature Verificationcited by 0
  10. 2025Online Handwritten Signature Verification Based on Temporal-Spatial Graph Attention Transformercited by 0
  11. 2026A Prototypical Signature Approach for Writer-Independent Offline Signature Verificationcited by 0
  12. 2026IDraw: Artist Verification from Digital Drawing Imagescited by 0