Extracting features for the linguistic variables of fuzzy rules using hidden Markov model
In classifying handwritten characters, the stages prior to the classification phase play a role as major as the classification itself. This research work will be classifying the characters using a syntactical classification method namely fuzzy logic but will use the statistical method of Hidden Mark...
| Principais autores: | , , , |
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| Formato: | Conference or Workshop Item |
| Idioma: | English |
| Publicado em: |
American Institute of Physics
2007
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| Acesso em linha: | http://psasir.upm.edu.my/id/eprint/57313/1/Extracting%20features%20for%20the%20linguistic%20variables%20of%20fuzzy%20rules%20using%20hidden%20Markov%20model.pdf |
| _version_ | 1825931587698556928 |
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| author | Suliman, Azizah Sulaiman, Md. Nasir Othman, Mohamed O. K. Rahmat, Rahmita Wirza |
| author_facet | Suliman, Azizah Sulaiman, Md. Nasir Othman, Mohamed O. K. Rahmat, Rahmita Wirza |
| author_sort | Suliman, Azizah |
| collection | UPM |
| description | In classifying handwritten characters, the stages prior to the classification phase play a role as major as the classification itself. This research work will be classifying the characters using a syntactical classification method namely fuzzy logic but will use the statistical method of Hidden Markov Model as an approach in extracting features for the linguistic variables of the fuzzy rule‐based system. In this paper the feature extraction method will be highlighted and detailed. The HMM Model of a variable to be used in the classification system will be discussed. Experimental results from a few sample images show that the proposed technique is both effective and efficient to be used in extracting features for the linguistic variables of fuzzy rules. |
| first_indexed | 2024-03-06T09:29:00Z |
| format | Conference or Workshop Item |
| id | upm.eprints-57313 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:29:00Z |
| publishDate | 2007 |
| publisher | American Institute of Physics |
| record_format | dspace |
| spelling | upm.eprints-573132017-09-26T04:02:34Z http://psasir.upm.edu.my/id/eprint/57313/ Extracting features for the linguistic variables of fuzzy rules using hidden Markov model Suliman, Azizah Sulaiman, Md. Nasir Othman, Mohamed O. K. Rahmat, Rahmita Wirza In classifying handwritten characters, the stages prior to the classification phase play a role as major as the classification itself. This research work will be classifying the characters using a syntactical classification method namely fuzzy logic but will use the statistical method of Hidden Markov Model as an approach in extracting features for the linguistic variables of the fuzzy rule‐based system. In this paper the feature extraction method will be highlighted and detailed. The HMM Model of a variable to be used in the classification system will be discussed. Experimental results from a few sample images show that the proposed technique is both effective and efficient to be used in extracting features for the linguistic variables of fuzzy rules. American Institute of Physics 2007 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/57313/1/Extracting%20features%20for%20the%20linguistic%20variables%20of%20fuzzy%20rules%20using%20hidden%20Markov%20model.pdf Suliman, Azizah and Sulaiman, Md. Nasir and Othman, Mohamed and O. K. Rahmat, Rahmita Wirza (2007) Extracting features for the linguistic variables of fuzzy rules using hidden Markov model. In: International Electronic Conference on Computer Science 2007 (IeCCS 2007), 28 June-8 July 2007 & 30 Nov.-10 Dec. 2007 (pp. 30-33). 10.1063/1.3037080 |
| spellingShingle | Suliman, Azizah Sulaiman, Md. Nasir Othman, Mohamed O. K. Rahmat, Rahmita Wirza Extracting features for the linguistic variables of fuzzy rules using hidden Markov model |
| title | Extracting features for the linguistic variables of fuzzy rules using hidden Markov model |
| title_full | Extracting features for the linguistic variables of fuzzy rules using hidden Markov model |
| title_fullStr | Extracting features for the linguistic variables of fuzzy rules using hidden Markov model |
| title_full_unstemmed | Extracting features for the linguistic variables of fuzzy rules using hidden Markov model |
| title_short | Extracting features for the linguistic variables of fuzzy rules using hidden Markov model |
| title_sort | extracting features for the linguistic variables of fuzzy rules using hidden markov model |
| url | http://psasir.upm.edu.my/id/eprint/57313/1/Extracting%20features%20for%20the%20linguistic%20variables%20of%20fuzzy%20rules%20using%20hidden%20Markov%20model.pdf |
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