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ABSTRACT
Trending technologies like machine learning and Neural networks are used in different kinds of handwritten pattern recognition in various research areas. Hence, it is very hard to recognize different persons written digits, English alphabet characters with different stroke of writing.
It has been an important research area that recognizes the handwritten digits, both English and Telugu characters. The English characters and digits are of the balanced dataset and the Telegu vowel characters are the images of 6 different vowels of Telegu characters. Then added the Dense layers as the hidden layers and trained the model and the accuracy obtained is 75 percent.
INTRODUCTION:
In the past few decades, researchers have been exploring different techniques on handwritten character recognition which is challenging. When the tasks we solve becomes harder, learning becomes harder.
We use deep neural networks which is appropriate to create and train the neural network architecture with better performance measure. Neural Networks and Deep Learning makes to train the model which we created by itself as if the human brain to learn itself from the experience that we gain.
Handwritten character recognition is challenging and researchers have been exploring different techniques in the past few decades. Recently, deep neural networks have drawn the attention of many researchers due to their capability of solving computer vision problems such as object detection, classification, recognition, etc. undoubtedly well. CNN is one of the most popular types of deep neural networks, it can learn and extract features from the 2D images.
