Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/1638
Title: ML & DL approach for Handwritten Character Recognition for Gujarati Characters
Authors: Doshi, Dr. Priyank D
Vanjara, Dr. Pratik A
Keywords: Convolution Neural Network
Support Vector Machine
Hand Written Character Recognition (HCR)
Issue Date: 2024
Abstract: 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 hisprimary 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.
URI: http://10.9.150.37:8080/dspace//handle/atmiyauni/1638
Appears in Collections:01. Journal Articles

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