Handwritten Arabic Character Recognition Using Multiple Classifiers Based on Letter Form

@inproceedings{Abandah2008HandwrittenAC,
  title={Handwritten Arabic Character Recognition Using Multiple Classifiers Based on Letter Form},
  author={Gheith A. Abandah and Khaled Younis and Austin Jordan and Jordan},
  year={2008}
}
Users are still waiting for accurate optical character recognition solutions for Arabic handwritten scripts. This research explores best sets of feature extraction techniques and studies the accuracy of well-known classifiers for Arabic letters. Depending on their position in the word, Arabic letters are drawn in four forms: Isolated, Initial, Medial, and Final. The principal component analysis technique is used to select best subset of features out of a large number of extracted features. We… CONTINUE READING
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