Samsuryadi, Samsuryadi (2021) Automated handwriting analysis based on pattern recognition: a survey. Indonesian Journal of Electrical Engineering and Computer Science, 22 (1). pp. 196-206. ISSN 2502-4760
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Abstract
Handwriting analysis has wide scopes include recruitment, medical diagnosis, forensic, psychology, and human-computer interaction. Computerized handwriting analysis makes it easy to recognize human personality and can help graphologists to understand and identify it. The features of handwriting use as input to classify a person’s personality traits. This paper discusses a pattern recognition point of view, in which different stages are described. The stages of study are data collection and pre-processing technique, feature extraction with associated personality characteristics, and the classification model. Therefore, the purpose of this paper is to present a review of the methods and their achievements used in various stages of a pattern recognition system.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > Q Science (General) > Q1-295 General |
| Divisions: | 09-Faculty of Computer Science > 55101-Informatics (S2) |
| Depositing User: | Dr. Syamsuryadi Sahmin |
| Date Deposited: | 13 Apr 2023 10:41 |
| Last Modified: | 13 Apr 2023 10:41 |
| URI: | http://repository.unsri.ac.id/id/eprint/96286 |
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