OCR based Automated Number Plate Text Detection and Extraction

The recognition and extraction of text is a crucial aspect of the number plate detection process. This research work focuses on the automation of text detection and extraction. In this method, the photos of vehicles are captured. Then the part of number plate is identified, the plate information (number) is extracted and sent to the concerned authoritie's WhatsApp number. The concept is based on optical character recognition (OCR). A bilateral filter is used for edge detection and a canny algorithm is applied for edge detection. This method has the advantage of removing the requirement for manual writing and numerical analysis by authorities. This involves the computation that requires far fewer equipment assets to work, allowing it to be deployed on low-end hardware and simple to set up in the real world. This project is employing a strategy for text recognition from pictures utilizing Python, Open CV, OCR, Pywhatkit