Abstract:

With the popularization of automobile and the progress of computer vision detection technology, intelligent license plate detection technology has gradually become an important part of intelligent traffic management. License plate detection is used to segment vehicle image and obtain license plate area for follow-up recognition system to screen. It is widely used in intelligent traffic management, vehicle video monitoring and other fields. The number plate recognition (NPR) system is one of the categories of smart transportation and detection mechanism. This is a combination of the technology in which the application enables the system to detect and automatically read the license id of number plate of vehicle from digitally captured images. The detection and recognition of a vehicle License Plate (LP) is one of the key techniques in most of the applications related to vehicle movement. Hence in this work, license plate character recognition using YOLO (You Look Only Once) and Generative Adversarial Neural networks (GANs) is presented. This system is divided into three parts, i.e. number plate detection, segmentation, and character recognition. In our proposed system for number plate detection Yolo method is used, after that some filters are applied and then characters are segmented.

Description:

Vehicles, License Plate Recognition, YOLO, Generative Adversarial Neural networks.