Abstract
Optical Character Recognition Systems (OCR) provide human-machine interaction and are widely used in many applications. Classification is the most important step in an OCR system. Support Vectors Machines (SVM) is among the tool of classification that appears these days. This tool proves its ability to discriminate between the forms and gives encouraging result. In this paper, we present an overview of the Arabic optical character recognition (AOCR) work done using SVM classifiers.
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Amara, M., Zidi, K., Zidi, S., Ghedira, K. (2014). Arabic Character Recognition Based M-SVM: Review. In: Hassanien, A.E., Tolba, M.F., Taher Azar, A. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2014. Communications in Computer and Information Science, vol 488. Springer, Cham. https://doi.org/10.1007/978-3-319-13461-1_3
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DOI: https://doi.org/10.1007/978-3-319-13461-1_3
Publisher Name: Springer, Cham
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