![Number Plate Switzerland Font](https://kumkoniak.com/110.jpg)
![Number Plate Switzerland Font Number Plate Switzerland Font](https://i.pinimg.com/originals/29/58/64/29586484da6973d812d342cffc173beb.jpg)
For comparison and validation, we implemented a LeNet Convolutional Neural Network (CNN) architecture which uses the segmented image as an input. The obtained mAP score of the YOLOv3 is 94.3% and the YOLOv4 model is 99.5% on the 0.50 threshold, whereas the average accuracy score of our framework is found to be 73%.
![Number Plate Switzerland Font Number Plate Switzerland Font](https://www.license-plates-shop.com/6752-large_default/swiss-canton-vaud-rear-european-license-plate-embossed-with-custom-number-or-text.jpg)
![Number Plate Switzerland Font Number Plate Switzerland Font](http://luc.devroye.org/StephanMueller-NumberplateBelgium-2003.png)
The proposed framework localizes the number plate region using the YOLO (You Only Look Once) object detection model, applies robust preprocessing techniques on the extracted plate region, and finally recognizes the plate label using OCR (optical character recognition) Tesseract. Addressing this issue, we have collected a Pakistani vehicle dataset having various plate configurations and developed a novel ANPR framework using the dataset. There is not much work done on Pakistani number plates because of the unavailability of the data and heterogeneous plate formations. Since every region has a distinct number plate format and style, an unconstrained ANPR system is still not available. The metropolis of the future demands an efficient Automatic Number Plate Recognition (ANPR) system.
![Number Plate Switzerland Font](https://kumkoniak.com/110.jpg)