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Used Deep Convolutional Neural Networks to detect Hindi handwritten text with an accuracy of 98.5% and immunes to hazy background. This Real-time Image pre-processing using OpenCV is developed by comparing the various classifiers and algorithms like KNN, SVM etc.

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doneela/Vernecular-Language-Detection-By-Machine-Learning

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images

images

 
 

models

models

 
 

requirements

requirements

 
 

charRecognitionModel.ipynb

charRecognitionModel.ipynb

 
 

confusionMatrix.png

confusionMatrix.png

 
 

metrics.ipynb

metrics.ipynb

 
 

output.txt

output.txt

 
 

realTimeWordRecognition.py

realTimeWordRecognition.py

 
 

wordRecognition.ipynb

wordRecognition.ipynb

 
 

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Used Deep Convolutional Neural Networks to detect Hindi handwritten text with an accuracy of 98.5% and immunes to hazy background. This Real-time Image pre-processing using OpenCV is developed by comparing the various classifiers and algorithms like KNN, SVM etc.

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python numpy scikit-learn convolutional-neural-networks opencv-python keras-tensorflow hindi-english-translation text-detection-recognition sck
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