DC Field | Value | Language |
---|---|---|
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 |
Appears in Collections: | 01. Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
233) 12267_Priyank Deepakkumar Doshi.pdf | 217.44 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.