Research Article
Low Resolution License Plate Recognition Based on Intelligent Data Processing and Prediction Algorithm
@INPROCEEDINGS{10.1007/978-3-030-94185-7_24, author={Mi Meng and Chun-hu He}, title={Low Resolution License Plate Recognition Based on Intelligent Data Processing and Prediction Algorithm}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I}, proceedings_a={IOTCARE}, year={2022}, month={6}, keywords={RANSAC prediction algorithm Low resolution license plate recognition Image registration Gauss pyramid Gauss difference pyramid}, doi={10.1007/978-3-030-94185-7_24} }- Mi Meng
Chun-hu He
Year: 2022
Low Resolution License Plate Recognition Based on Intelligent Data Processing and Prediction Algorithm
IOTCARE
Springer
DOI: 10.1007/978-3-030-94185-7_24
Abstract
Aiming at the problems of low accuracy of low resolution license plate recognition and long time consuming of recognition and registration in traditional methods, this paper proposes a low resolution license plate recognition method based on intelligent data processing and prediction algorithm. Firstly, the low resolution license plate is located, and the low resolution digital image of license plate is defined by the principle of image registration; Secondly, the doc scale space is constructed to determine the Gaussian pyramid and Gaussian difference pyramid model of low resolution license plate, and the RANSAC prediction algorithm is used to eliminate the mismatching of low resolution license plate and realize low resolution license plate recognition. The experimental results show that the proposed method can achieve fast recognition accuracy and recall rate of low resolution license plate, and the recognition time is low.
