Analysis on Handwritten Document Text to Identify Human Personality Characteristics by Using Preprocessing and Feature Extraction

  • Lukie Perdanasari Politeknik Elektronika Negeri Surabaya
  • Riyanto Sigit Politeknik Elektronika Negeri Surabaya
  • Achmad Basuki Politeknik Elektronika Negeri Surabaya
Keywords: Personal characters, Handwriting, Identification, Text document, Graphology

Abstract

It is important that a company uses the right means to recruit employees with certain personal characteristics as needed. Nowadays, the techniques to respond to psychological tests on people’s characteristics have been widely understood by most job applicants, so that it is difficult to know their true personality. Graphology is a way to identify a person’s characteristics by analyzing the handwriting from the document text made by the applicant. The two types of text document of each applicant are obtained from people of different ages and different writing times. The methods of graphology used in this research for identifying the handwriting are preprocessing and feature extraction. The preprocessing method uses projection integrals, shear transformations, and template matching. While the feature extraction process applies 10 features, they are, margins, line spacing, space between words, size of writing, style, zone, direction of writing, slope of writing, width of writing and shape of the letter. The result of the experiment from five writers shows the accuracy of writing identification equals to 82%, while personality identification equals to 67,4%.

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Author Biographies

Lukie Perdanasari, Politeknik Elektronika Negeri Surabaya
Postgraduate Student at Politeknik Elektronika Negeri Surabaya. Departement of Information and Computer Engineering
Riyanto Sigit, Politeknik Elektronika Negeri Surabaya
Lecturer at Politeknik Elektronika Negeri Surabaya. Departement of Information and Computer Engineering
Achmad Basuki, Politeknik Elektronika Negeri Surabaya
Lecturer at Politeknik Elektronika Negeri Surabaya. Departement of Information and Computer Engineering

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Published
2018-12-29
How to Cite
Perdanasari, L., Sigit, R., & Basuki, A. (2018). Analysis on Handwritten Document Text to Identify Human Personality Characteristics by Using Preprocessing and Feature Extraction. EMITTER International Journal of Engineering Technology, 6(2), 254-274. https://doi.org/10.24003/emitter.v6i2.289
Section
Articles