In this project a CNN is trained to recognize number plate from an image. At first a model is trained to recognize number digits and numbers. Then the charector segmentation is performed those segmented charectors are recognized.
- Trained a CNN model in using Pytorch.
90% training accuracy and 88% test accuracy was obtained after 8 epochs.
2) Loaded the Image and performed charector segmentation. 3) Recognize the charectors after segmantation.
The dataset is available in this repository.
Citation for the dataset:
@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}
}