ISOLATED CHARACTER RECOGNITION USING HIERARCHICAL APPROACH WITH SVM CLASSIFIER
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.5, No. 9)Publication Date: 2016-09-30
Authors : Shaina; Harpreet Kaur Bajaj;
Page : 570-575
Keywords : : Optical Character Recognition; SINDHI Character Set; SVM Classifier.;
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%.
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Last modified: 2016-09-26 18:37:25