Analysis on Handwritten Document Text to Identify Human Personality Characteristics by Using Preprocessing and Feature Extraction
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Politeknik Elektronika Negeri Surabaya
2018-12-01
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| Series: | Emitter: International Journal of Engineering Technology |
| Subjects: | |
| Online Access: | https://emitter.pens.ac.id/index.php/emitter/article/view/289 |
| _version_ | 1818393988095279104 |
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| author | Lukie Perdanasari Riyanto Sigit Achmad Basuki |
| author_facet | Lukie Perdanasari Riyanto Sigit Achmad Basuki |
| author_sort | Lukie Perdanasari |
| collection | DOAJ |
| description | 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%. |
| first_indexed | 2024-12-14T05:54:03Z |
| format | Article |
| id | doaj.art-15d22c184eba4746bdb41e8f4c65e94a |
| institution | Directory Open Access Journal |
| issn | 2355-391X 2443-1168 |
| language | English |
| last_indexed | 2024-12-14T05:54:03Z |
| publishDate | 2018-12-01 |
| publisher | Politeknik Elektronika Negeri Surabaya |
| record_format | Article |
| series | Emitter: International Journal of Engineering Technology |
| spelling | doaj.art-15d22c184eba4746bdb41e8f4c65e94a2022-12-21T23:14:38ZengPoliteknik Elektronika Negeri SurabayaEmitter: International Journal of Engineering Technology2355-391X2443-11682018-12-016210.24003/emitter.v6i2.289Analysis on Handwritten Document Text to Identify Human Personality Characteristics by Using Preprocessing and Feature ExtractionLukie Perdanasari0Riyanto Sigit1Achmad Basuki2Politeknik Elektronika Negeri SurabayaPoliteknik Elektronika Negeri SurabayaPoliteknik Elektronika Negeri SurabayaIt 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%.https://emitter.pens.ac.id/index.php/emitter/article/view/289Personal charactersHandwritingIdentificationText documentGraphology |
| spellingShingle | Lukie Perdanasari Riyanto Sigit Achmad Basuki Analysis on Handwritten Document Text to Identify Human Personality Characteristics by Using Preprocessing and Feature Extraction Emitter: International Journal of Engineering Technology Personal characters Handwriting Identification Text document Graphology |
| title | Analysis on Handwritten Document Text to Identify Human Personality Characteristics by Using Preprocessing and Feature Extraction |
| title_full | Analysis on Handwritten Document Text to Identify Human Personality Characteristics by Using Preprocessing and Feature Extraction |
| title_fullStr | Analysis on Handwritten Document Text to Identify Human Personality Characteristics by Using Preprocessing and Feature Extraction |
| title_full_unstemmed | Analysis on Handwritten Document Text to Identify Human Personality Characteristics by Using Preprocessing and Feature Extraction |
| title_short | Analysis on Handwritten Document Text to Identify Human Personality Characteristics by Using Preprocessing and Feature Extraction |
| title_sort | analysis on handwritten document text to identify human personality characteristics by using preprocessing and feature extraction |
| topic | Personal characters Handwriting Identification Text document Graphology |
| url | https://emitter.pens.ac.id/index.php/emitter/article/view/289 |
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