Personality Trait Analysis by Graphology Technique using Machine Learning
Ranjith R1, Jothi S2, Chandrasekar A3
1Ranjith R* , Assistant Professor, St. Joseph‟s College of Engineering, Chennai, India.
2Jothi S, Associate Professor, St. Joseph‟s College of Engineering, Chennai, India.
3Chandrasekar A, Professor, St. Joseph‟s College of Engineering Chennai, India.
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 4734-4737 | Volume-9 Issue-1, November 2019. | Retrieval Number: A3973119119/2019©BEIESP | DOI: 10.35940/ijitee.A3973.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Graphology is a technique for analyzing an individual’s personality based on the given sample of their handwriting. Graphology considers the fact that the movement of our hand is directly related to the state of our brain. This paper implements the techniques of graphology using machine learning. The pre-defined data about the analysis of handwriting is given as learning data set for the machine. An image of a handwritten text document in jpg format is given as input to this machine. The processed output gives the personality of the individual corresponding to the input handwriting.
Keywords: Graphology, SVM Algorithm, Personality, Analysis, Sample of Handwriting, pre-Defined Data set.
Scope of the Article: Machine Learning