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HINDI HANDWRITTING Devanagiri RECOGNITION

This code helps you classify different alphabets of hindi language (Devanagiri) using Convnets

#Code Requirements You can install Conda for python which resolves all the dependencies for machine learning.

#Description This code successfully recognizes hindi characters.

#Technique Used I have used convolutional neural networks. I am using Tensorflow as the framework and Keras API for providing a high level of abstraction.

#Architecture CONV2D --> MAXPOOL --> CONV2D --> MAXPOOL -->FC -->Softmax--> Classification

#Some additional points You can go for additional conv layers. Add regularization to prevent overfitting. You can add additional images to the training set for increasing the accuracy.

#Python Implementation Dataset- DHCD (Devnagari Character Dataset) Images of size 32 X 32 Convolutional Network Support added.

#Train Acuracy ~ 95%

#Test Acuracy ~ 92%

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This code helps you classify different alphabets of hindi language (Devanagiri) using Convnets

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