APPLYING PRINCIPAL COMPONENT ANALYSIS, MULTILAYER PERCEPTRON AND SELF-ORGANIZING MAPS FOR OPTICAL CHARACTER RECOGNITION
Optical Character Recognition plays an important role in data storage and data mining when the number of documents stored as images is increasing. It is expected to find the ways to convert images of typewritten or printed text into machine-encoded text effectively in order to support for the proces...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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ICT Academy of Tamil Nadu
2016-11-01
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| Series: | ICTACT Journal on Image and Video Processing |
| Subjects: | |
| Online Access: | http://ictactjournals.in/paper/IJIVP_paper_2_1115_1121.pdf |
| _version_ | 1818751897969885184 |
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| author | Khuat Thanh Tung Le Thi My Hanh |
| author_facet | Khuat Thanh Tung Le Thi My Hanh |
| author_sort | Khuat Thanh Tung |
| collection | DOAJ |
| description | Optical Character Recognition plays an important role in data storage and data mining when the number of documents stored as images is increasing. It is expected to find the ways to convert images of typewritten or printed text into machine-encoded text effectively in order to support for the process of information handling effectively. In this paper, therefore, the techniques which are being used to convert image into editable text in the computer such as principal component analysis, multilayer perceptron network, self-organizing maps, and improved multilayer neural network using principal component analysis are experimented. The obtained results indicated the effectiveness and feasibility of the proposed methods. |
| first_indexed | 2024-12-18T04:42:52Z |
| format | Article |
| id | doaj.art-7c8a1b4708174fa587135c7c1e6eb245 |
| institution | Directory Open Access Journal |
| issn | 0976-9099 0976-9102 |
| language | English |
| last_indexed | 2024-12-18T04:42:52Z |
| publishDate | 2016-11-01 |
| publisher | ICT Academy of Tamil Nadu |
| record_format | Article |
| series | ICTACT Journal on Image and Video Processing |
| spelling | doaj.art-7c8a1b4708174fa587135c7c1e6eb2452022-12-21T21:20:40ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022016-11-016211151121APPLYING PRINCIPAL COMPONENT ANALYSIS, MULTILAYER PERCEPTRON AND SELF-ORGANIZING MAPS FOR OPTICAL CHARACTER RECOGNITIONKhuat Thanh Tung0Le Thi My Hanh1The University of Danang, University of Science and Technology, VietnamThe University of Danang, University of Science and Technology, VietnamOptical Character Recognition plays an important role in data storage and data mining when the number of documents stored as images is increasing. It is expected to find the ways to convert images of typewritten or printed text into machine-encoded text effectively in order to support for the process of information handling effectively. In this paper, therefore, the techniques which are being used to convert image into editable text in the computer such as principal component analysis, multilayer perceptron network, self-organizing maps, and improved multilayer neural network using principal component analysis are experimented. The obtained results indicated the effectiveness and feasibility of the proposed methods.http://ictactjournals.in/paper/IJIVP_paper_2_1115_1121.pdfOptical Character RecognitionPrincipal Component AnalysisMultilayer PerceptronSelf-Organizing Maps |
| spellingShingle | Khuat Thanh Tung Le Thi My Hanh APPLYING PRINCIPAL COMPONENT ANALYSIS, MULTILAYER PERCEPTRON AND SELF-ORGANIZING MAPS FOR OPTICAL CHARACTER RECOGNITION ICTACT Journal on Image and Video Processing Optical Character Recognition Principal Component Analysis Multilayer Perceptron Self-Organizing Maps |
| title | APPLYING PRINCIPAL COMPONENT ANALYSIS, MULTILAYER PERCEPTRON AND SELF-ORGANIZING MAPS FOR OPTICAL CHARACTER RECOGNITION |
| title_full | APPLYING PRINCIPAL COMPONENT ANALYSIS, MULTILAYER PERCEPTRON AND SELF-ORGANIZING MAPS FOR OPTICAL CHARACTER RECOGNITION |
| title_fullStr | APPLYING PRINCIPAL COMPONENT ANALYSIS, MULTILAYER PERCEPTRON AND SELF-ORGANIZING MAPS FOR OPTICAL CHARACTER RECOGNITION |
| title_full_unstemmed | APPLYING PRINCIPAL COMPONENT ANALYSIS, MULTILAYER PERCEPTRON AND SELF-ORGANIZING MAPS FOR OPTICAL CHARACTER RECOGNITION |
| title_short | APPLYING PRINCIPAL COMPONENT ANALYSIS, MULTILAYER PERCEPTRON AND SELF-ORGANIZING MAPS FOR OPTICAL CHARACTER RECOGNITION |
| title_sort | applying principal component analysis multilayer perceptron and self organizing maps for optical character recognition |
| topic | Optical Character Recognition Principal Component Analysis Multilayer Perceptron Self-Organizing Maps |
| url | http://ictactjournals.in/paper/IJIVP_paper_2_1115_1121.pdf |
| work_keys_str_mv | AT khuatthanhtung applyingprincipalcomponentanalysismultilayerperceptronandselforganizingmapsforopticalcharacterrecognition AT lethimyhanh applyingprincipalcomponentanalysismultilayerperceptronandselforganizingmapsforopticalcharacterrecognition |