Nepali License Plate Recognition (LPR)
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Classification Model.ipynb
Exploratory Data Analysis.ipynb
README.md
accuracy.png
eda_rows_count.png
images.rar
predictions.png
samples.png

README.md

LPR

LPR(License Plate Recognition) dataset contains the cropped image of license plate of private motorbikes in Bagmati zone in Nepal. And thus contains the 12 different classes: ०-९, बा and प. images.rar is the compressed file for Image folder which has 12 sub folders each corresponding to the class.

Sample

I've trained a convolutional neural network to classify these images and achieved an ~86% accuracy in validation set.

Predictions

Dataset is only allowed for research purposes and if you use this dataset in your work, please cite it as follows:

Bibtex

@inproceedings{pant2015automatic,
  title={Automatic Nepali Number Plate Recognition with Support Vector Machines},
  author={Pant, Ashok Kumar and Gyawali, Prashnna Kumar and Acharya, Shailesh},
  booktitle={Proceedings of the 9th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)},
  pages={92--99},
  year={2015}
}