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3 articles for “Handwritten Datasets”

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Review ArticleOpen accessIn the keywordsA Comprehensive Overview of Handwritten Recognition Techniques: A SurveySardar Hasen Ali, Maiwan Bahjat AbdulrazzaqDeep learning and deep neural networks, particularly Convolutional Neural Networks (CNNs), are rapidly growing areas of machine learning and are currently the primary tools used for image analysis and classification applications. Handwriting recognition involves using computer algorithms and software to interpret and recognize handwritten text and drawings and has various applications such as automated handwriting analysis, document digitization, and handwriting-based … …Journal of Computer Science, Vol. 19, Issue 5 · 8 Apr 2023 · 8,763 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognition of Hindi (Arabic) Handwritten NumeralsRawan I. Zaghloul, Dojanah M.K. Bader Enas, F. AlRawashdehRecognition of handwritten numerals has been one of the most challenging topics in image processing. This is due to its contributions in the automation process in several applications. The aim of this study was to build a classifier that can easily recognize offline handwritten Arabic numerals to support those applications that are deal with Hindi (Arabic) numerals. A new algorithm … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 2 · 1 Aug 2012 · 8,176 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultilevel Classifier in Recognition of Handwritten Arabic CharactersRawan Ismail Zaghloul, Enas Faisal AlRawashdeh, Dojanah Mohammad Kadri BaderProblem statement: Arabic offline handwriting recognition is considered one of the most challenging topics. This is probably caused by the fact that Arabic recognition system faced many problems during the development stage. It faces the usual problems of character recognition in general, in addition to the problems that are specific to Arabic language only. The aim of this study was … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 7,005 accessesView PDFCite