Image Character Recognition using Convolutional Neural Networks
Adith Narayan, Raja Muthalagu · 2021
This paper aims the study and implementation of Convolutional Neural Network (CNN) for Image character recognition. Handwritten Character Recognition involves recognition of texts present in digital images and documents and processing them for various applications such as machine translation, pattern recognition and so on. This paper studies the use of CNN in detecting and recognizing handwritten text images with a higher accuracy. The CNN model is tested on English handwritten characters and validated on its performance. The model performs feature extraction from images through multiple layers. These are later used for training the model and thereby recognizing characters.