# A Perspective Analysis of Handwritten Signature Technology

arXiv: https://arxiv.org/abs/2405.13555 · HTML: https://mlsanity.com/paper/2405.13555/

## 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 (most cited first, 8 of 8)

- [SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification](https://mlsanity.com/paper/1707.02131/) (2017)
- [BiosecurID: a multimodal biometric database](https://mlsanity.com/paper/2111.03472/) (2021)
- [Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks](https://mlsanity.com/paper/1705.05787/) (2017)
- [Offline Handwritten Signature Verification - Literature Review](https://mlsanity.com/paper/1507.07909/) (2015)
- [Online Signature Verification using Recurrent Neural Network and Length-normalized Path Signature](https://mlsanity.com/paper/1705.06849/) (2017)
- [Static and Dynamic Synthesis of Bengali and Devanagari Signatures](https://mlsanity.com/paper/2401.17026/) (2024)
- [Writer-independent Feature Learning for Offline Signature Verification using Deep Convolutional Neural Networks](https://mlsanity.com/paper/1604.00974/) (2016)
- [UTSig: A Persian Offline Signature Dataset](https://mlsanity.com/paper/1603.03235/) (2016)

## Built on by (most cited first, 12 of 12)

- [Privacy-Preserving Biometric Verification with Handwritten Random Digit String](https://mlsanity.com/paper/2503.12786/) (2025)
- [Writing Order Recovery in Complex and Long Static Handwriting](https://mlsanity.com/paper/2406.03194/) (2024)
- [Offline Handwritten Signature Verification Using a Stream-Based Approach](https://mlsanity.com/paper/2411.06510/) (2024)
- [On the use of first and second derivative approximations for biometric online signature recognition](https://mlsanity.com/paper/2406.00512/) (2024)
- [Anthropomorphic Features for On-Line Signatures](https://mlsanity.com/paper/2501.09048/) (2025)
- [Capturing More: Learning Multi-Domain Representations for Robust Online Handwriting Verification](https://mlsanity.com/paper/2508.01427/) (2025)
- [Investigating the Common Authorship of Signatures by Off-Line Automatic Signature Verification Without the Use of Reference Signatures](https://mlsanity.com/paper/2405.14409/) (2024)
- [Online Signature Verification based on the Lagrange formulation with 2D and 3D robotic models](https://mlsanity.com/paper/2503.13573/) (2025)
- [Quasi-Synthetic Riemannian Data Generation for Writer-Independent Offline Signature Verification](https://mlsanity.com/paper/2509.20420/) (2025)
- [Online Handwritten Signature Verification Based on Temporal-Spatial Graph Attention Transformer](https://mlsanity.com/paper/2510.19321/) (2025)
- [A Prototypical Signature Approach for Writer-Independent Offline Signature Verification](https://mlsanity.com/paper/2606.18528/) (2026)
- [IDraw: Artist Verification from Digital Drawing Images](https://mlsanity.com/paper/2608.01737/) (2026)

## 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.