Md. Mahbubur Rahman Tusher1, Fahmid Al Farid2,*, Md. Al-Hasan1, Abu Saleh Musa Miah1, Susmita Roy Rinky1, Mehedi Hasan Jim1, Sarina Mansor2, Md. Abdur Rahim3, Hezerul Abdul Karim2,*
CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2633-2656, 2024, DOI:10.32604/cmc.2024.049296
Abstract The context of recognizing handwritten city names, this research addresses the challenges posed by the manual inscription of Bangladeshi city names in the Bangla script. In today’s technology-driven era, where precise tools for reading handwritten text are essential, this study focuses on leveraging deep learning to understand the intricacies of Bangla handwriting. The existing dearth of dedicated datasets has impeded the progress of Bangla handwritten city name recognition systems, particularly in critical areas such as postal automation and document processing. Notably, no prior research has specifically targeted the unique needs of Bangla handwritten city name… More >
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