Vietnamese character recognition based on CNN model with reduced character classes

Volume: 10, Issue: 2, Pages: 962 - 969
Published: Apr 1, 2021
Abstract
This article will detail the steps to build and train the convolutional neural network (CNN) model for Vietnamese character recognition in educational books. Based on this model, a mobile application for extracting text content from images in Vietnamese textbooks was built using OpenCV and Canny edge detection algorithm. There are 178 characters classes in Vietnamese with accents. However, within the scope of Vietnamese character recognition in...
Paper Details
Title
Vietnamese character recognition based on CNN model with reduced character classes
Published Date
Apr 1, 2021
Volume
10
Issue
2
Pages
962 - 969
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