Ai-based handwriting analysis

Mohd Nasir, Nabil Syazani (2024) Ai-based handwriting analysis. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The project, "AI-Based Handwriting Analysis," aims to transform the field of handwriting analysis through the utilization of artificial intelligence. This web-based application is designed to automatically analyze handwriting features from uploaded images and deduce the personality traits of the writer. The system addresses the inefficiencies and subjectivity inherent in manual handwriting analysis conducted by graphologists. Graphologists have traditionally conducted manual analysis throughout the years, which is time-consuming for obtaining handwriting features and personality traits from a single document. Moreover, manual analysis by different graphologists can lead to a conflicting opinion and ambiguous results of prediction. A domain expert from Medipro Venture Sdn. Bhd., who traditionally performs these analysis, will greatly benefit from this automated solution, promising immediate and consistent results. The application harnesses advanced AI techniques, including machine learning, computer vision, and image recognition, to accurately assess handwriting features. This project was done using the Agile Method to keep the progress on track. The result is the process of identifying key graphology features (baseline angle, top margin, slant angle, letter size, pen pressure, word spacing, line spacing) and accurately predicting personality traits such as emotional stability, mental energy, modesty, non-communicativeness, lack of discipline, poor concentration and social isolation. The project ultimately strives to identify graphology features in handwriting using computer vision techniques, build a machine learning-based analysis model for handwriting and develop an AI-Driven web app for handwriting analysis. By leveraging computer vision and machine learning techniques, the application streamlines handwriting analysis, providing consistent and efficient results that surpass manual methods. The purpose is toward institutions seeking reliable personality evaluations, this AI solution will enhance accuracy and save time while offering valuable insights into individuals' characteristics.

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