# A comprehensive Persian offline handwritten database for investigating the effects of heritability and family relationships on handwriting

arXiv: https://arxiv.org/abs/2509.03510 · HTML: https://mlsanity.com/paper/2509.03510/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 53 references that are in the map.
- First posted on arXiv 3 Sep 2025.

## Builds on (most cited first, 4 of 4)

- [SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification](https://mlsanity.com/paper/1707.02131/) (2017)
- [Deep Learning for Iris Recognition: A Survey](https://mlsanity.com/paper/2210.05866/) (2022)
- [Self-Supervised Learning with Cluster-Aware-DINO for High-Performance Robust Speaker Verification](https://mlsanity.com/paper/2304.05754/) (2023)
- [UTSig: A Persian Offline Signature Dataset](https://mlsanity.com/paper/1603.03235/) (2016)

## Abstract (arXiv)

This paper introduces a comprehensive database for research and investigation on the effects of inheritance on handwriting. A database has been created that can be used to answer questions such as: Is there a genetic component to handwriting? Is handwriting inherited? Do family relationships affect handwriting? Varieties of samples of handwritten components such as: digits, letters, shapes and free paragraphs of 210 families including (grandparents, parents, uncles, aunts, siblings, cousins, nephews and nieces) have been collected using specially designed forms, and family relationships of all writers are captured. To the best of our knowledge, no such database is presently available. Based on comparisons and investigation of features of handwritings of family members, similarities among their features and writing styles are detected. Our database is freely available to the pattern recognition community and hope it will pave the way for investigations on the effects of inheritance and family relationships on handwritings.