Abstract: A number plate identification system is a security measure that uses optical character recognition (OCR) and image processing to recognize license plates on automobiles. There are several uses for this technology, including letting parking authorities approve a car for parking and toll road authorities identify and bill a vehicle automatically. The procedure entails taking a picture of the license plate, processing it, and correctly reading and decoding the characters using optical character recognition (OCR). Because it transforms the text in the image into legible characters, the OCR process is essential. This study uses OpenCV and Python to investigate two approaches for detecting license plates: morphological gradient detection and Sobel edge detection. A thorough analysis of these techniques shows their effectiveness and precision, serving as a model for upcoming systems that recognize license plates. For Indian number plates, the accuracy rate ranges from 75 to 85 percent.

| DOI: 10.17148/IJIREEICE.2024.12526