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- Title
ISOLATED HANDWRITTEN ARABIC NUMERALS RECOGNITION USING THE K-NEAREST NEIGHBOR AND THE HIDDEN MARKOV MODEL CLASSIFIERS.
- Authors
Kessab, Badre-eddine E. L.; Daoui, Cherki; Bouikhalene, Belaid; Salouan, Rachid
- Abstract
This paper deals with a recognition system of handwritten Arabic numerals extracted to the MNIST standard database (Arabic numerals). This system is composed of three main phases: the pre-processing of numerals followed by the extraction of primitives with the zoning method in order to convert each image into a vector number, which is nothing other than a piece of information extracted from this numeral just to differentiate the others. Finally, our recognition system will end with a classification phase using two methods: the K-nearest neighbours (K-NN) and HiddenMarkovModel (HMM). This work has achieved a recognition rate of approximately 82 of success.
- Subjects
ARABIC numeration; MARKOV processes
- Publication
Facta Universitatis, Series: Mathematics & Informatics, 2015, Vol 30, Issue 5, p731
- ISSN
0352-9665
- Publication type
Article