IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS)

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ISSN 2321-5992

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IMPACT FACTOR

Identification of Personality Trait by Handwriting Analysis Using SVM Classifier, Authors : Syeda Asra, Dr.Shubhangi DC,IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS) ,http://www.ipasj.org/IIJCS/IIJCS.htm

Volume & Issue no: Volume 5, Issue 11, November 2017


Title:
Identification of Personality Trait by Handwriting Analysis Using SVM Classifier
Author Name:
Syeda Asra, Dr.Shubhangi DC
Abstract:
Abstract Personality trait identification is of paramount importance. Personality Traits are stable over time. Individual’s behavior naturally varies somewhat from occasion to occasion but there is a core of consistency which defines the true nature. Traits directly influence behavior. There are several methods for identifying traits. drawing out ample avenue for trait identification through hand writing and Psychometric analysis. Handwriting reveals the true personality including emotional outlay, fears, honesty, defenses and many others. A big five factor model is considered to find out individual differences. To identify person’s extrovert introvert behavior based on spacing between words and characters in the handwritten text has been considered in this paper. The classifier SVM is being used. 90% accuracy is achieved. Keywords: ANN, personality trait, human behavior
Cite this article:
Syeda Asra, Dr.Shubhangi DC , " Identification of Personality Trait by Handwriting Analysis Using SVM Classifier " , IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS), Volume 5, Issue 11, November 2017 , pp. 085-093 , ISSN 2321-5992.
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