ANALYSIS OF PERSONALITY DETECTION AND WRITER IDENTIFICATION METHODS
DOI:
https://doi.org/10.26906/SUNZ.2025.1.138-142Keywords:
handwriting, handwriting analysis, personality, handwriting features, graphology, personality detection, writer identificationAbstract
Handwritten text as multi-sensory activity can show one’s personality and at the same time can serve as one’s
biometric identifier. Handwriting analysis is used in various fields including history, forensic, education, security, personnel
matters etc. In this article handwriting analysis methodologies were considered and categorized in four groups highlighting
advantages and disadvantages of each group. Also, this article depicts various problems associated with developing handwriting
analysis systems such as improper feature extraction, overfitting, underfitting, unreliable training data, picking model for
assessing personality types, etc. Both methods for robust offline writer identification and methods for prediction of human
personality that are used in state-of-the-art handwriting analysis systems are presented. In addition, current studies and common
approaches for performance measurement and database selection in both writer identification and personality detection fields
were analyzed. Also, perspective development directions of modern handwriting analysis systems are presented.
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