mlsanityData to 7 Oct 2026

Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health

arXiv 2202.12760 ↗First posted 24 Feb 2022cs.CR cs.LGcited by 19

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Abstract (arXiv)

Background- This paper summarizes the state-of-the-art and applications based on online handwritting signals with special emphasis on e-security and e-health fields. Methods- In particular, we focus on the main achievements and challenges that should be addressed by the scientific community, providing a guide document for future research. Conclusions- Among all the points discussed in this article, we remark the importance of considering security, health, and metadata from a joint perspective. This is especially critical due to the double use possibilities of these behavioral signals.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). Builds on 10 of its 148 references that are in the map. First posted on arXiv 24 Feb 2022.

Builds on

10 of 148 references.

References · 10

  1. 2020DeepSign: Deep On-Line Signature Verificationcited by 23
  2. 2021BiosecurID: a multimodal biometric databasecited by 21
  3. 2020BioTouchPass2: Touchscreen Password Biometrics Using Time-Aligned Recurrent Neural Networkscited by 19
  4. 2019SensitiveNets: Learning Agnostic Representations with Application to Face Imagescited by 17
  5. 2021Quality Measures in Biometric Systemscited by 12
  6. 2022Privacy issues on biometric systemscited by 7
  7. 2022EMOTHAW: A novel database for emotional state recognition from handwritingcited by 6
  8. 2019Characterization of the Handwriting Skills as a Biomarker for Parkinson Diseasecited by 5
  9. 2022A comparative study of in-air trajectories at short and long distances in online handwritingcited by 5
  10. 2022Technological evaluation of two AFIS systemscited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 4; 2023: 3; 2024: 9; 2025: 2; 2026: 1.

19 papers.

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  1. 2024Writing Order Recovery in Complex and Long Static Handwritingcited by 3
  2. 2024Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learningcited by 3
  3. 2022Improving Accuracy and Explainability of Online Handwriting Recognitioncited by 2
  4. 2022Siamese based Neural Network for Offline Writer Identification on word level datacited by 2
  5. 2023Exploring Transformers for On-Line Handwritten Signature Verificationcited by 2
  6. 2023CSSL-RHA: Contrastive Self-Supervised Learning for Robust Handwriting Authenticationcited by 2
  7. 2024Neural network modelling of kinematic and dynamic features for signature verificationcited by 2
  8. 2022On the Handwriting Tasks' Analysis to Detect Fatiguecited by 1
  9. 2022On handwriting pressure normalization for interoperability of different acquisition styluscited by 1
  10. 2023Introduction to Presentation Attacks in Signature Biometrics and Recent Advancescited by 1
  11. 2024Attention based End to end network for Offline Writer Identification on Word level datacited by 1
  12. 2024On the use of first and second derivative approximations for biometric online signature recognitioncited by 1
7 more
  1. 2024Online Signature Recognition: A Biologically Inspired Feature Vector Splitting Approachcited by 0
  2. 2024Explainable offline automatic signature verifier to support forensic handwriting examinerscited by 0
  3. 2024Supervised and Unsupervised Alignments for Spoofing Behavioral Biometricscited by 0
  4. 2024On the analysis of saturated pressure to detect fatiguecited by 0
  5. 2025Online Signature Verification based on the Lagrange formulation with 2D and 3D robotic modelscited by 0
  6. 2025Layout Stroke Imitation: A Layout Guided Handwriting Stroke Generation for Style Imitation with Diffusion Modelcited by 0
  7. 2026Mobile Interaction for Assessing Fatigue, Sleep, and Activity in Neurodegenerative and Chronic Diseasescited by 0