Monitoring the In-Traffic of a Community by Vehicle Number Plate Detection using Digital Image Processing

Abstract

Vehicle license plate recognition (VLPR) is very useful in permitting the vehicles inside the parking area. This project presents the details of a novel VLPR scheme in which the license plate is detected using YOLO (You only look once) algorithm. Character segmentation is done with contour detection algorithm. Also, the proposed scheme uses the minimum edit distance algorithm to identify missing or misclassified characters on the license plates. The project is implemented using Raspberry Pi and license plate detection is implemented using Python programming. It is found through experimentation; the design is 95.31% accurate.