Cuneiform Symbols Recognition Based on K-Means and Neural Network
Cuneiform is the ancient writing systemin the world<strong>. </strong>But, there is no clear interest recognition cuneiform symbol, despite its importance. This research interested in building an algorithm for cuneiform symbol recognition. Firstly, the Sumerian texts were entered thr...
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| Format: | Article |
| Language: | English |
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Mosul University
2013-03-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
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| Online Access: | https://csmj.mosuljournals.com/article_163436_686ddbb1c16259ea9e0a6647d1504256.pdf |
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| author | Naktal Edan |
| author_facet | Naktal Edan |
| author_sort | Naktal Edan |
| collection | DOAJ |
| description | Cuneiform is the ancient writing systemin the world<strong>. </strong>But, there is no clear interest recognition cuneiform symbol, despite its importance. This research interested in building an algorithm for cuneiform symbol recognition. Firstly, the Sumerian texts were entered through the scanner and make some initial preprocessing operations such as segmentation for the purpose of cutting the text and getting a cuneiform symbol. Then, features were extracted for each symbol by using vertical and horizontal projections, centre of gravity, and connected component. Because of the large number of cuneiform symbols, the similar symbols are clustered by K-means algorithm, then multilayer neural networks are used to classify the symbol within the same cluster. The proposed algorithm gave good results. |
| format | Article |
| id | doaj-art-b0cec1ce99b0464ab0d06e3a915f9bb2 |
| institution | OA Journals |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2013-03-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-b0cec1ce99b0464ab0d06e3a915f9bb22025-08-20T02:19:16ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902013-03-0110119520210.33899/csmj.2013.163436163436Cuneiform Symbols Recognition Based on K-Means and Neural NetworkNaktal Edan0College of Computer Sciences and Mathematics University of Mosul, Mosul, IraqCuneiform is the ancient writing systemin the world<strong>. </strong>But, there is no clear interest recognition cuneiform symbol, despite its importance. This research interested in building an algorithm for cuneiform symbol recognition. Firstly, the Sumerian texts were entered through the scanner and make some initial preprocessing operations such as segmentation for the purpose of cutting the text and getting a cuneiform symbol. Then, features were extracted for each symbol by using vertical and horizontal projections, centre of gravity, and connected component. Because of the large number of cuneiform symbols, the similar symbols are clustered by K-means algorithm, then multilayer neural networks are used to classify the symbol within the same cluster. The proposed algorithm gave good results.https://csmj.mosuljournals.com/article_163436_686ddbb1c16259ea9e0a6647d1504256.pdfsymbols recognitionk-means algorithmand neural network |
| spellingShingle | Naktal Edan Cuneiform Symbols Recognition Based on K-Means and Neural Network Al-Rafidain Journal of Computer Sciences and Mathematics symbols recognition k-means algorithm and neural network |
| title | Cuneiform Symbols Recognition Based on K-Means and Neural Network |
| title_full | Cuneiform Symbols Recognition Based on K-Means and Neural Network |
| title_fullStr | Cuneiform Symbols Recognition Based on K-Means and Neural Network |
| title_full_unstemmed | Cuneiform Symbols Recognition Based on K-Means and Neural Network |
| title_short | Cuneiform Symbols Recognition Based on K-Means and Neural Network |
| title_sort | cuneiform symbols recognition based on k means and neural network |
| topic | symbols recognition k-means algorithm and neural network |
| url | https://csmj.mosuljournals.com/article_163436_686ddbb1c16259ea9e0a6647d1504256.pdf |
| work_keys_str_mv | AT naktaledan cuneiformsymbolsrecognitionbasedonkmeansandneuralnetwork |