https://github.com/deejungx/nhcr

Nepali Handwritten Character Recognition using DHCD dataset
https://github.com/deejungx/nhcr

deep-learning flask jupyter-notebook python

Last synced: 26 days ago
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Nepali Handwritten Character Recognition using DHCD dataset

• Host: GitHub
• URL: https://github.com/deejungx/nhcr
• Owner: deejungx
• Created: 2021-02-05T02:47:28.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2021-02-05T16:01:37.000Z (almost 4 years ago)
• Last Synced: 2024-11-03T06:41:37.116Z (2 months ago)
• Topics: deep-learning, flask, jupyter-notebook, python
• Language: Jupyter Notebook
• Homepage:
• Size: 41.1 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Nepali Handwritten Character Recognition

NHCR is an implementation of deep convolutional neural network for recognizing handwritten Nepali characters. A web interface is proveded for testing the model with your own input image.

![NHCR demo](images/nhcr-app.png)

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install pipenv and install requirements.

```bash

pip install pipenv

pipenv install --ignore-pipfile 

```

## Usage

```bash

$ export FLASK_APP=app.py

$ flask run

```

## Dataset

The DHCD Dataset used in this application is available [here](https://github.com/Prasanna1991/DHCD_Dataset).

## Bibtex

```

@inproceedings{acharya2015deep,

  title={Deep learning based large scale handwritten Devanagari character recognition},

  author={Acharya, Shailesh and Pant, Ashok Kumar and Gyawali, Prashnna Kumar},

  booktitle={Software, Knowledge, Information Management and Applications (SKIMA), 2015 9th International Conference on},

  pages={1--6},

  year={2015},

  organization={IEEE}

}

```