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Predict A Person's Personality Based On The Shape of Handwriting of The Letters "i", "o", and "t" Using The Levenberg Marquardt Backpropagation Method
Author(s) -
Annisa Mujahidah Robbani,
I Gede Pasek Suta Wijaya,
Fitri Bimantoro
Publication year - 2021
Publication title -
j-cosine (journal of computer science and informatics engineering)
Language(s) - English
Resource type - Journals
ISSN - 2541-0806
DOI - 10.29303/jcosine.v5i2.178
Subject(s) - handwriting , backpropagation , computer science , artificial intelligence , personality , big five personality traits , speech recognition , pattern recognition (psychology) , artificial neural network , natural language processing , psychology , social psychology
-The literature shows that Graphology is common and relatively useful in our life. For example, as one of the job requirements. Professional organizations hire a professional handwriting analyst called Graphologist to analyze the characteristic traits of the candidates by identified their handwriting. However, the accuracy of handwriting analysis depends on how skilled the graphologist is, two graphologists which predict the same handwriting may give us a different result of the prediction. To improve the accuracy, we develop a system that can automatically predict a person’s personality based on the shape of the handwriting of the letters "i", "o", and "t" using the Levenberg Marquardt Backpropagation method. Based on this research we got the maximum accuracy by using 2 hidden layers. We got 71,42% of accuracy for the letter “i”, 76,92% of accuracy for the letter “o”, and 60% of accuracy for letter the “t”.

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