ML & DL approach for Handwritten Character Recognition for Gujarati Characters

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Dr. Priyank D. Doshi
Dr. Pratik A. Vanjara


English language should not be a barrier for education. So In India Government has decided to promote Local language or Mother tongue as a language of his primary education. In context of this, in my state Gujarat, there is lots of scope to adopt different model or tool based on AI to help students and general public for their education and daily work. Gujarati Character Recognition plays crucial role for the ease of communication between Gujarati people or in Gujarat Region. The proposed model Gujarati Handwritten Character and modifier recognition (GHCMR) is based on Machine Learning and Deep Learning and giving 97% accuracies using enough images set for all characters.  It shows good performance in training as well testing the model.


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How to Cite
Dr. Priyank D. Doshi, & Dr. Pratik A. Vanjara. (2024). ML & DL approach for Handwritten Character Recognition for Gujarati Characters. Educational Administration: Theory and Practice, 30(6(S), 106–109.
Author Biographies

Dr. Priyank D. Doshi

Department of Computer Application, Atmiya University Rajkot-360005, India. 

Dr. Pratik A. Vanjara

Department of Computer Science, Shree M.P. Shah Commerce College Surendra Nagar-363002, India,