Bangla Handwriting Based Person Identification Using Machine Learning Techniques

DOI

10.2991/978-94-6239-664-7_86How to use a DOI?

Keywords

Bangla Handwriting; Person Identification; Random Forest (RF); Support Vector Machine (SVM); K-nearest Neighbors (KNN); Machine Learning

Abstract

The increasing demand for personality identification based on handwriting processing in fields like resource management, criminal investigations, and mental health diagnostics has led to a flurry of research and experimentation in this area these days. Implicit information includes characteristics including writer identity, gender, age group, handedness etc. Additionally, handwriting has been used as a sign of neurodegenerative diseases, the evolution of writers’ personalities, and their cognitive and emotional abilities. This paper aims to identify a person accurately using different machine learning models based on a person's Bangla handwriting. A lot of work has been done in this field, but more work is required in Bangla handwriting-based identification research. So, we feel motivated to do this work using Bangla handwriting. We have used the Wacom Tablet to collect data and used 1009 different Bangla words from 19 persons. We have used feature extraction and different feature selection methods and selected 27 features. Among Random Forest (RF), Support Vector Machine (SVM) and K-nearest Neighbors (KNN), the RF classifier identified persons with 99% accuracy and showed the best result over SVM and KNN. The actual outcomes confirmed that the suggested technique was successfully identifying personality traits from Bangla handwriting.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Arpa Kar Puza
AU  - Nitun Kumar Podder
AU  - Abu Mohammad Noor
AU  - Md Abdur Rahim
AU  - Md. Nazmul Alam Chowdhury
AU  - Md.Nazrul Islam Mondal
PY  - 2026
DA  - 2026/06/08
TI  - Bangla Handwriting Based Person Identification Using Machine Learning Techniques
BT  - Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025)
PB  - Atlantis Press
SP  - 1277
EP  - 1290
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-664-7_86
DO  - 10.2991/978-94-6239-664-7_86
ID  - Puza2026
ER  -