What question did this study set out to answer?

This research aims to predict personality traits through handwriting analysis using advanced machine learning algorithms.

March 14, 2026

Personality prediction using handwriting analysis: an empirical approach for behaviour study

Key Points

This research aims to predict personality traits through handwriting analysis using advanced machine learning algorithms.
Collected handwriting images for analysis
Implemented machine learning algorithms for initial tests
Employed neural networks to enhance accuracy
Used Canny method for handwriting style prediction
Conducted image preprocessing before analysis
Achieved a personality prediction accuracy of 92% using neural networks
Machine learning algorithms showed lower accuracy compared to neural networks
The Canny method effectively classified handwriting styles

Abstract

In this research paper, the personality of a person has been predicted through handwriting. Analysis has been done with some machine learning algorithms, but the accuracy of the machine learning algorithms was not high, so the algorithms of the neural network have also been used, which has brought the accuracy to 92%. The Canny method was another new method used to predict the class of personality, through which the style of handwriting is predicted to curve. To know any person, it is most important to know his personality. In this research paper, the image of handwriting has been collected, then training and testing have been done; after that, the pre-processing of the image has been done, and after that, the thorough analysis of algorithms has been done.

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Cite This Study

Rastogi et al. (Wed,) studied this question.

synapsesocial.com/papers/69b4fb1bb39f7826a300babb https://doi.org/https://doi.org/10.1504/ijisdc.2025.152193

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