ISOLATED CHARACTER RECOGNITION USING HIERARCHICAL APPROACH WITH SVM CLASSIFIER
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 9
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%.
Authors and Affiliations
Shaina
Keywords
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- EP ID EP96349
- DOI 10.5281/zenodo.154564
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