Jumlah Transisi pada Ciri Transisi dalam Pengenalan Pola Tulisan Tangan Aksara Jawa Nglegeno dengan Multiclass Support Vector Machines
Feature extraction is one of the most improtant step on characters recognition system. Transition features is one from many features used on characters recognition system. This paper report a research on handwritten basic Jawanesse characters recognition system to found the proper numbers of transit...
| Main Authors: | , |
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Universitas Jenderal Soedirman
2012-02-01
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| Series: | Dinamika Rekayasa |
| Subjects: | |
| Online Access: | http://dinarek.unsoed.ac.id/jurnal/index.php/dinarek/article/view/55 |
| _version_ | 1811202318989787136 |
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| author | Azis Wisnu Widhi Nugraha Widhiatmoko Hery Purnomo |
| author_facet | Azis Wisnu Widhi Nugraha Widhiatmoko Hery Purnomo |
| author_sort | Azis Wisnu Widhi Nugraha |
| collection | DOAJ |
| description | Feature extraction is one of the most improtant step on characters recognition system. Transition features is one from many features used on characters recognition system. This paper report a research on handwritten basic Jawanesse characters recognition system to found the proper numbers of transitions used on transition features. To recognize the characters,the Multiclass Support Vector Machines were used. The Directed Acyclic Graph (DAG) SVM were used for multiclass classification strategy and to map each input vector to a higher dimention space, the Gaussian Radial Basis Function (RBF) kernel with parameter 1were used. It can be shown, for basicJawanesse characters recognition system, the optimal numbers of transitions used for transition features is 4 (a half of maximum numbers of transition on all patterns). |
| first_indexed | 2024-04-12T02:36:42Z |
| format | Article |
| id | doaj.art-abbeefd2c92042d4b71a59862723ea87 |
| institution | Directory Open Access Journal |
| issn | 1858-3075 2527-6131 |
| language | Indonesian |
| last_indexed | 2024-04-12T02:36:42Z |
| publishDate | 2012-02-01 |
| publisher | Universitas Jenderal Soedirman |
| record_format | Article |
| series | Dinamika Rekayasa |
| spelling | doaj.art-abbeefd2c92042d4b71a59862723ea872022-12-22T03:51:29ZindUniversitas Jenderal SoedirmanDinamika Rekayasa1858-30752527-61312012-02-0181182455Jumlah Transisi pada Ciri Transisi dalam Pengenalan Pola Tulisan Tangan Aksara Jawa Nglegeno dengan Multiclass Support Vector MachinesAzis Wisnu Widhi Nugraha0Widhiatmoko Hery Purnomo1Prodi Teknik Elektro Universitas Jenderal SoedirmanProdi Teknik Elektro Universitas Jenderal SoedirmanFeature extraction is one of the most improtant step on characters recognition system. Transition features is one from many features used on characters recognition system. This paper report a research on handwritten basic Jawanesse characters recognition system to found the proper numbers of transitions used on transition features. To recognize the characters,the Multiclass Support Vector Machines were used. The Directed Acyclic Graph (DAG) SVM were used for multiclass classification strategy and to map each input vector to a higher dimention space, the Gaussian Radial Basis Function (RBF) kernel with parameter 1were used. It can be shown, for basicJawanesse characters recognition system, the optimal numbers of transitions used for transition features is 4 (a half of maximum numbers of transition on all patterns).http://dinarek.unsoed.ac.id/jurnal/index.php/dinarek/article/view/55Handwritten characters recognition, Jawanesecharacters, Transition Features, Multiclass SVM, DAG SVM. |
| spellingShingle | Azis Wisnu Widhi Nugraha Widhiatmoko Hery Purnomo Jumlah Transisi pada Ciri Transisi dalam Pengenalan Pola Tulisan Tangan Aksara Jawa Nglegeno dengan Multiclass Support Vector Machines Dinamika Rekayasa Handwritten characters recognition, Jawanesecharacters, Transition Features, Multiclass SVM, DAG SVM. |
| title | Jumlah Transisi pada Ciri Transisi dalam Pengenalan Pola Tulisan Tangan Aksara Jawa Nglegeno dengan Multiclass Support Vector Machines |
| title_full | Jumlah Transisi pada Ciri Transisi dalam Pengenalan Pola Tulisan Tangan Aksara Jawa Nglegeno dengan Multiclass Support Vector Machines |
| title_fullStr | Jumlah Transisi pada Ciri Transisi dalam Pengenalan Pola Tulisan Tangan Aksara Jawa Nglegeno dengan Multiclass Support Vector Machines |
| title_full_unstemmed | Jumlah Transisi pada Ciri Transisi dalam Pengenalan Pola Tulisan Tangan Aksara Jawa Nglegeno dengan Multiclass Support Vector Machines |
| title_short | Jumlah Transisi pada Ciri Transisi dalam Pengenalan Pola Tulisan Tangan Aksara Jawa Nglegeno dengan Multiclass Support Vector Machines |
| title_sort | jumlah transisi pada ciri transisi dalam pengenalan pola tulisan tangan aksara jawa nglegeno dengan multiclass support vector machines |
| topic | Handwritten characters recognition, Jawanesecharacters, Transition Features, Multiclass SVM, DAG SVM. |
| url | http://dinarek.unsoed.ac.id/jurnal/index.php/dinarek/article/view/55 |
| work_keys_str_mv | AT aziswisnuwidhinugraha jumlahtransisipadaciritransisidalampengenalanpolatulisantanganaksarajawanglegenodenganmulticlasssupportvectormachines AT widhiatmokoherypurnomo jumlahtransisipadaciritransisidalampengenalanpolatulisantanganaksarajawanglegenodenganmulticlasssupportvectormachines |