E-Graphologist for Personality Profile

  • Pranoti Shete
  • Anita Thengade

Abstract

Deep learning of a person’s signature can reveal
his personality profile like fear, honesty, emotional state, thinking
style and much more. Analyzing signature can help in predicting
social skills, thinking style, work habits, achievements, etc. of the
writer. Type and style of signature can be judged by graphologist
based on curved start, single line, dot on letter, etc. Similarly
pattern recognition and image processing are used to analyze
signature and handwriting in our system. Here the signature is
considered as image and then prediction is performed through
different stages such as gray level conversion, calculating
threshold value, binary conversion etc. The most preferred
technique by researchers for personality prediction is 'Artificial
Neural Network'.

Keywords: Signature Analysis, Personality Prediction, Graphology, Artificial Neural Network, Human Personality, Personality, Signature

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How to Cite
Shete, P., & Thengade, A. (2019). E-Graphologist for Personality Profile. Asian Journal For Convergence In Technology (AJCT). Retrieved from http://asianssr.org/index.php/ajct/article/view/766
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