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Human Behavioral Analysis Based on Handwriting Recognition and Text Processing

Authors
  • Dasgupta, Poorna Banerjee
Publication Date
Jan 01, 0001
Source
HAL-UPMC
Keywords
Language
English
License
Unknown
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Abstract

Behavioral characteristics are one of the primary features that help in differentiating one person from another. Numerous studies have been conducted that have analyzed the psychological and emotional aspects of human behavior for a multitude of applications, ranging from anthropological studies and medical diagnoses to solving cases of crime. However, it is a lesser known fact that human behavior and psychology can be adjudged by analyzing an individual's written texts and handwriting. Hence, this paper proposes and discusses an algorithmic approach for analyzing human behavioral characteristics through text processing and handwriting recognition, with the objective of incorporating the obtained results with futuristic artificial intelligence systems that can employ text processing and handwriting recognition as individualistic signatory features.

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