Hindi HandWriting recognition || machine-learning || opencv || tensorflow

Hindi HandWriting recognition using machine-learning, OpenCV, Tensorflow, Keras, python3
GitHub Link: https://github.com/sameerbairwa

This code helps you classify different alphabets of Hindi language Devanagiri using Convnets

Description:
This code successfully recognizes Hindi characters when user makes characters in front of the camera.

Code Requirements:
1. you can install Conda for python which resolves all the dependencies for machine learning.
2. install TensorFlow, in conda $conda install TensorFlow
3. install Keras, in conda - $conda install Keras
4. install OpenCV, in conda -$ conda install OpenCV
5. handWritingRecognition.py require data set data.csv for training and test
6. application.py require devanagari_model.h5 model for classifying the 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

Python Implementation:
1.Dataset- DHCD Devnagari Character Dataset
2.Images of size 32 X 32
3.Convolutional Network Support added.
Train Accuracy 95%
train on 70000 with 8 Epochs
Test Accuracy 92%
test on 2001

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