Bangla HandWritten Character Recognition using Convolutional Neural Network.
1. Web UI for users to draw handwritten charecters and use that to predict which charecter the user has drawn
1. Tensorflow
2. keras
3. Flask
4. matplotlib
5. ipython (for training visiualization and dataset pre-processing)
1. Need to download the dataset zip file ( Find the link below )
2. Use the dataset to create a .pickle file which is used to train the Neural Network.
3. Use the model.h5 and model.json and keep it in the /serve/model directory
1. Add a model training UI to the flask server. So that it will accpet a pickle file of training data and outputs the .ckpt model
2. Integrate the training data pre-processing module into the UI, so that the user can generate and change the training data.
3. API Documentation for Charecter recognition
Any contribution to this project are welcome. If you want to contribute, please send a pull request.
Biswas M, Islam R, Shom GK, Shopon M, Mohammed N, Momen S, Abedin MA (2017) Banglalekha-isolated: a comprehensive bangla handwritten character dataset. arXiv:1703.10661
[