Thai License Plate Recognition using SSD MobileNet and EasyOCR
Janya Sainui, Chaichan Thepporn, Pattamawan Chusuwan
Abstract
In this paper, we propose Thai license plate recognition for video utilizing deep learning approaches. Although many methods were proposed in the literature, most of them evaluated their performance using images not videos. Performing license plate recognition on videos is more challenging than that of images because moving cars cause blurred images, as well as incorrect and redundant number plates will be obtained. Therefore, our goal here is to automatically save the correct vehicle registration number with less redundancies in a database. To do so, we mainly use the SSD MobileNetV2 for license plate detection from video frames and then utilize EasyOCR for number plate recognition. Moreover, we introduce the post-processing process to filter out redundant and incorrect number plates before saving the number plates into the database. The experimental result of 100 images demonstrates that SSD MobileNetV2 obtains 99.00% accuracy for license plate detection, while EasyOCR achieves 92.00%-character accuracy for number plate recognition. The evaluation on videos shows that our proposed procedure achieves the license plate detection accuracy of 91.70%, the number plate recognition accuracy of 83.46%, and the character recognition accuracy of 96.99%.