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Handwriting is considered as a reflection of mood changes and characterises the state of mind of a writer at that moment. Graphology is the dedicated field for analysing handwriting and getting knowledge about personality traits. The process can be made faster and affordable using the machine-learning technique. Handwriting analysis is done considering the features like baseline angle, top margin, letter size, line spacing, word spacing, pen pressure and slant. Using SVM and random forest classifier along categorised features, insights about different personality traits are obtained. The robust system is evaluated against f1 score and is found to be 100% accurate provided the given handwritten sample is clear and precise.

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Recognising Personality Traits from Handwriting with Machine-Learning Technique

  • 会议论文

  • 发表日期：

    2025年

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  • Navya Manjunath Bhat,
  • S. Thenmozhi

摘要

Handwriting is considered as a reflection of mood changes and characterises the state of mind of a writer at that moment. Graphology is the dedicated field for analysing handwriting and getting knowledge about personality traits. The process can be made faster and affordable using the machine-learning technique. Handwriting analysis is done considering the features like baseline angle, top margin, letter size, line spacing, word spacing, pen pressure and slant. Using SVM and random forest classifier along categorised features, insights about different personality traits are obtained. The robust system is evaluated against f1 score and is found to be 100% accurate provided the given handwritten sample is clear and precise.