https://github.com/prasunroy/air-writing
:large_blue_diamond: [ICFHR 2018] A CNN Based Framework for Unistroke Numeral Recognition in Air-Writing.
https://github.com/prasunroy/air-writing
convolutional-neural-networks gesture-recognition human-computer-interaction optical-character-recognition
Last synced: 4 months ago
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:large_blue_diamond: [ICFHR 2018] A CNN Based Framework for Unistroke Numeral Recognition in Air-Writing.
- Host: GitHub
- URL: https://github.com/prasunroy/air-writing
- Owner: prasunroy
- License: mit
- Created: 2018-05-08T17:38:16.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2024-04-30T09:40:57.000Z (about 1 year ago)
- Last Synced: 2024-04-30T11:16:50.901Z (about 1 year ago)
- Topics: convolutional-neural-networks, gesture-recognition, human-computer-interaction, optical-character-recognition
- Language: Python
- Homepage: https://arxiv.org/abs/2303.07989
- Size: 3.31 MB
- Stars: 8
- Watchers: 4
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Air-Writing
**A CNN Based Framework for Unistroke Numeral Recognition in Air-Writing.**
*Accepted in The IEEE International Conference on Frontiers in Handwriting Recognition (ICFHR) 2018.*
**[[arXiv]](https://arxiv.org/abs/2303.07989)**
## Installation
#### Step 1: Install [Anaconda](https://www.anaconda.com/download/) distribution of python 2.7+ or 3.5+ (recommended)
#### Step 2: Update Anaconda
```
conda update conda
conda update anaconda
```
#### Step 3: Install dependencies
```
conda install theano
pip install keras numpy opencv-python pyqt5
```
>To switch backend from "tensorflow" (default) to "theano" read the [Keras Documentation](https://keras.io/backend/).
#### Step 4: Clone repository and launch application
```
git clone https://github.com/prasunroy/air-writing.git
cd air-writing
python app.py
```
## References
>[Git Logo](https://github.com/prasunroy/air-writing/raw/master/assets/button_repo.png) is designed by [Jason Long](https://github.com/jasonlong) made available under [Creative Commons Attribution 3.0 Unported License](https://creativecommons.org/licenses/by/3.0/deed.en).
## Citation
```
@inproceedings{roy2018cnn,
title = {A CNN Based Framework for Unistroke Numeral Recognition in Air-Writing},
author = {Roy, Prasun and Ghosh, Subhankar and Pal, Umapada},
booktitle = {International Conference on Frontiers in Handwriting Recognition (ICFHR)},
year = {2018}
}
```
## License
MIT License
Copyright (c) 2018 Prasun Roy
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
**Made with** :heart: **and GitHub**