ISOLATED CHARACTER RECOGNITION USING HIERARCHICAL APPROACH WITH 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%.

Authors and Affiliations

Shaina

Keywords

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  • EP ID EP96349
  • DOI 10.5281/zenodo.154564
  • Views 88
  • Downloads 0

How To Cite

Shaina (30).  ISOLATED CHARACTER RECOGNITION USING HIERARCHICAL APPROACH WITH SVM CLASSIFIER. International Journal of Engineering Sciences & Research Technology, 5(9), 570-575. https://europub.co.uk/articles/-A-96349