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Details van artikel 24 van 86 gevonden artikelen
| Titel: |
Arabic Words Recognition by Fuzzy Classifier |
| Auteur: |
Farah Lotfi Farah Nadir Bedda Mouldi |
| Verschenen in: |
Journal of applied sciences |
| Paginering: | Jaargang 6 (2006) nr. 3 pagina's 647-650 |
| Jaar: |
2006 |
| Inhoud: |
This research study on offline handwriting Arabic words recognition is presented, by the use of a fuzzy proximity measure. In recent years, fuzzy logic has been increasingly used to improve conventional methods especially in pattern recognition fields. The aim of this study was Arabic literal words amount recognition using a fuzzy classifier. We introduce briefly the technique for processing handwritten words, which begins with features extraction, then their classification. The purpose of the classifier was to allocate a class to the test word on a basis of a training set. The fuzzification was introduced in two stages. Firstly to reclassify the obtained K nearest neighbors by a crisp K nearest neighbor approach. Secondly in the classification of the tested word to a class among its K neighbors. The proposed system was tested on 1200 images and a 93.80% classification success rate was obtained. |
| Uitgever: |
Asian Network for Scientific Information, Pakistan (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 24 van 86 gevonden artikelen
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