Handwritten text extraction from image using python then detect text using deeplearning model

we present an innovative method for offline handwritten text detection using deep neural networks. In today world it has become easier to train deep neural networks because of availability of huge amount of data and various Algorithmic innovations which are taking place. Now-a-days the amount of computational power needed to train a neural network has increased due to the availability of GPU's and other cloud based services like Google Cloud platform and Amazon Web Services which provide resources to train a Neural network on the cloud. We have designed a image segmentation based Handwritten text recognition system. In our system we have made use of OpenCV for performing Image processing and have used Tensorflow for training a the neural Network. We have developed this system using python programming language.

Dataset:
IAM Dataset
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accuracy: each word with more then 95% accuracy.

training :
on google colab
epochs : 50

loss: will be less then 0.2,0.1.

References:

if you get any errors during the execution you can comment so,that we will be helping you.

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[Peterin]

whats is epoch value used for training the model?

[sarsijtiwari]

plz complete your handwritten text recognition video playlist

[Peterin]

can you share about the data training part

[paulamidas]

I am getting the error for argparser, how to fix that? please help.

[vanshikamittal]

Code for text classification.... can you please help sir!?

[adarshrao]

Not able to run this code, Can you please give source code?