Preliminary experiments on automatic gender recognition based on online capital letters
arXiv:2203.06265v15 citationsh-index: 34
Originality Synthesis-oriented
AI Analysis
This addresses gender classification for handwriting analysis, but it is incremental as it builds on existing methods with limited data.
The paper tackled gender recognition from online handwritten capital letters, achieving up to 74% accuracy in the most challenging case.
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.