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    ARTICLE

    Improving CNN-BGRU Hybrid Network for Arabic Handwritten Text Recognition

    Sofiene Haboubi1,*, Tawfik Guesmi2, Badr M Alshammari2, Khalid Alqunun2, Ahmed S Alshammari2, Haitham Alsaif2, Hamid Amiri1

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5385-5397, 2022, DOI:10.32604/cmc.2022.029198 - 28 July 2022

    Abstract Handwriting recognition is a challenge that interests many researchers around the world. As an exception, handwritten Arabic script has many objectives that remain to be overcome, given its complex form, their number of forms which exceeds 100 and its cursive nature. Over the past few years, good results have been obtained, but with a high cost of memory and execution time. In this paper we propose to improve the capacity of bidirectional gated recurrent unit (BGRU) to recognize Arabic text. The advantages of using BGRUs is the execution time compared to other methods that can More >

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