Blurred license plate image identification algorithm based on image fusion and blind deconvolution

Abstract

The present invention relates to the computer vision field, especially to a blurred license plate image identification algorithm based on image fusion and blind deconvolution. The algorithm comprises 5 steps: 1, multi-frame image fusion for enhancement of distinguishing degree of low-illumination images of a license plate; 2, blurred image processing based on the blind deconvolution algorithm; 3, license plate location and inclination estimation; 4, segmentation of license plate characters; and 5, character identification and output after segmentation of the license plate characters. The blurred license plate image identification algorithm based on the image fusion and the blind deconvolution is high in reading reliability of license plate characters, good in identification degree and good in robustness in the condition of blurred license plate and low-quality imaging of license plate images caused by low illumination at night or vehicle overspeed and the like; and moreover, the step calculation is simple, the high efficiency is maintained, and the timeliness can satisfy the requirement.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a fuzzy license plate image recognition algorithm based on image fusion and blind deconvolution. Background technique [0002] With the development of modern transportation, automatic vehicle license plate recognition technology has been paid more and more attention, and it is one of the important research topics of computer vision and pattern recognition technology in the field of intelligent transportation in recent years. The automatic vehicle license plate recognition system can be used for vehicle management in highway toll stations, parking lots, intersections and other places, and plays an important role in promoting road traffic and parking lot vehicle management. [0003] License plate recognition technology includes three basic links of license plate location, character segmentation and character recognition, among which license plate location is the premise of character ...

AI Technical Summary

Problems solved by technology

For example, when a vehicle is speeding at night, due to the comprehensive influence of many factors including the environment, time, and the speeding of the vehicle itself, accidents occur frequently and losses are huge.

At the same time, if the food monitoring system cannot recognize the relevant vehicle license plate information due to environmental reasons, this will undoubtedly bring great changes to all aspects of safety management.

[0005] At the same time, factors such as the inconsistency of domestic license plates and the difficulty of recognizing Chinese characters have also led to license plate recognition, especially in special conditions.

Images