License plate character segmentation method based on fast area labeling algorithm and license plate large-spacing locating method

Abstract

A license plate character partitioning method based on a quick region labeling algorithm and a license plate master space location method belongs to the image processing technical field and relates to a license plate automatic recognition technique. Firstly the license plate region is converted through grey level histogram and grey level stretching conversion to realize reinforcement of the character region on the license plate; secondly a two-valued threshold value is calculated and the license plate grey level image is converted into a two-valued image; thirdly a connectivity analysis of the license plate two-valued image is carried out according to the quick region labeling algorithm and an alternate region of characters is obtain through a region growing method; fourthly a master space location is fixed from the license plate two-valued image; fifthly the final character region is obtained through mending and making up for the character region based on the feature of the license plate master space location; finally the characters are partitioned from the license plate grey level image. The license plate character partitioning method based on the quick region labeling algorithm and the license plate master space location method provided by the invention can effectively improve performances such as systematic versatility and location accuracy.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a license plate character segmentation method in a complex background in the license plate recognition technology. Background technique [0002] Intelligent transportation is the main direction of the current traffic management development, and it is a frontier research topic in the field of transportation in the world. Automatic license plate recognition technology is the core of intelligent transportation system. It is an important means to solve the problem of expressway management, and it is the application of computer image processing technology and pattern recognition technology in the field of intelligent transportation. This technology is widely used in solving many problems on expressways, such as vehicle toll collection and management, traffic flow detection, parking lot toll management, violation vehicle monitoring, false license plate vehicle identification ...

AI Technical Summary

Problems solved by technology

[0009] The above four license plate character segmentation algorithms have in common that these methods are aimed at a specific condition, are easily limited by factors such as weather, background, lighting, etc., and have poor robustness.

Once the conditions change, their segmentation accuracy will fluctuate greatly, and the performance of the entire license plate recognition system will be greatly reduced.

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