How To Tune Tesseract For Identifying Number Plate Of A Car More Accurately?

I have a code to detect and identify the car number plate and convert the image into text using tesseract. I am using openCV to localise the number plate. The problem that I am fac

Solution 1:

You are using tesseract as a general model for your problem you can tune your model for that you need to generate synthetic data for your number plates with this

https://github.com/Belval/TextRecognitionDataGenerator

and then you can tune your model using the steps provided

https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00---Finetune

https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00

I've tuned the tesseract on synthetic data and it works like a charm, tried CNN models and tesseract both and tesseract trains better with lesser data and gives better performance.