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ML & DL approach for Handwritten Character Recognition for Gujarati Characters

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dc.contributor.author Doshi, Dr. Priyank D
dc.contributor.author Vanjara, Dr. Pratik A
dc.date.accessioned 2024-11-18T09:44:58Z
dc.date.available 2024-11-18T09:44:58Z
dc.date.issued 2024
dc.identifier.uri http://10.9.150.37:8080/dspace//handle/atmiyauni/1638
dc.description.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. en_US
dc.language.iso en en_US
dc.subject Convolution Neural Network en_US
dc.subject Support Vector Machine en_US
dc.subject Hand Written Character Recognition (HCR) en_US
dc.title ML & DL approach for Handwritten Character Recognition for Gujarati Characters en_US
dc.type Article en_US


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