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ISOLATED CHARACTER RECOGNITION USING HIERARCHICAL APPROACH WITH SVM CLASSIFIER

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.5, No. 9)

Publication Date:

Authors : ; ;

Page : 570-575

Keywords : : Optical Character Recognition; SINDHI Character Set; SVM Classifier.;

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Abstract

This paper proposes a method for Urdu language text. Character recognition is obtained by OCR. This paper represents the effectiveness of characters with SVM Classifier using Hierarchical approach. SVM is a useful technique for data classification. The objective of SVM is to generate a model which predicts the target value. The work is done on Sindhi Character Set. The experiment shows that character recognition with SVM Classifier achieves a recognition rate of 93.0481%.

Last modified: 2016-09-26 18:37:25