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E-Graphologist for Personality Profile
Published in Asian Society for Scientific Research
2019
Volume: 5.0
   
Issue: 1.0
Abstract
Deep learning of a person’s signature can revealhis personality profile like fear, honesty, emotional state, thinkingstyle and much more. Analyzing signature can help in predictingsocial skills, thinking style, work habits, achievements, etc. of thewriter. Type and style of signature can be judged by graphologistbased on curved start, single line, dot on letter, etc. Similarlypattern recognition and image processing are used to analyzesignature and handwriting in our system. Here the signature isconsidered as image and then prediction is performed throughdifferent stages such as gray level conversion, calculatingthreshold value, binary conversion etc. The most preferredtechnique by researchers for personality prediction is 'ArtificialNeural Network'.
About the journal
JournalAsian Journal For Convergence In Technology (AJCT)
PublisherAsian Society for Scientific Research
Open Access0