The Review of Technologies for Unmanned Toll-Tax Collection By Means of Digital Image Processing

Abstract

Digital image processing has become an integral part of various industries as it helps in monitoring processes, detecting faults, ensuring quality control, and more. It is a specialized engineering science that deals with image enhancement, correction, feature extraction, surveillance, etc. Image processing is a complex and challenging field that requires a lot of experimentation and testing to find the right solution, while theoretical knowledge is essential, practical implementation is equally important. It involves a lot of algorithm revision, parameter estimation, and comparison of different solutions. Thus, choosing the right software development environment that is flexible, comprehensive, and well-documented is crucial. It can significantly affect the cost, development time, and portability of image processing solutions.

This project involves installing cameras and processing devices at every toll booth to capture the registration numbers of passing vehicles. The captured images will be processed using noise reduction techniques and contrast stretching to improve the clarity of the registration number. Using a text recognition algorithm, the registration number will be converted into a text file and sent to a remote server where it will be searched for in the database to debit the corresponding credit/debit card/bank account. The project uses the Optical Character Recognition (OCR) approach for text recognition and intends to use morphological operations to handle exceptional conditions.