# Preliminary experiments on automatic gender recognition based on online capital letters

arXiv: https://arxiv.org/abs/2203.06265 · HTML: https://mlsanity.com/paper/2203.06265/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 10 references that are in the map.
- First posted on arXiv 11 Mar 2022.

## Builds on (most cited first, 1 of 1)

- [BiosecurID: a multimodal biometric database](https://mlsanity.com/paper/2111.03472/) (2021)

## Built on by (most cited first, 1 of 1)

- [Self-Supervised Representation Learning for Online Handwriting Text Classification](https://mlsanity.com/paper/2310.06645/) (2023)

## Abstract (arXiv)

In this paper we present some experiments to automatically classify online handwritten text based on capital letters. Although handwritten text is not as discriminative as face or voice, we still found some chance for gender classification based on handwritten text. Accuracies are up to 74%, even in the most challenging case of capital letters.