Fuzzy license plate reconstruction method based on characteristic learning

Abstract

The invention discloses a fuzzy license plate reconstruction method based on characteristic learning. The method comprises the following steps of acquiring a large number of clear character samples covering all license plate character types and acquiring corresponding fuzzy character samples; setting up a fuzzy character sample database and performing characteristic training; acquiring fuzzy license plate images and calibrating four angular points of last five characters of the images; performing geometric correction and character segmentation to acquire five segment characters; acquiring the clear character sample and the fuzzy character sample corresponding to each segment character; according to the clear character sample and the fuzzy character sample corresponding to each segment character , performing character reconstruction on the segment character and then acquiring a reconstruction result; and performing histogram processing on the reconstruction result. The reconstruction result identifiability can be greatly improved. Relatively good reconstruction effects are achieved. License plate images can be recovered in a relatively clear and accurate way. The method can be widely applied in the license plate number identification field.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a fuzzy license plate reconstruction method based on feature learning. Background technique [0002] License plate information is one of the most important information in the field of video surveillance, and often becomes the key factor in case detection. However, in the surveillance video collected in the actual scene, the license plate image information is often lost due to various complicated reasons, and it is difficult for the human eye to recognize the license plate information, which greatly hinders the detection of the case. Therefore, super-resolution reconstruction of license plate images has become an urgent problem to be solved in video surveillance scenarios. [0003] Common license plate image restoration methods generally use targeted image restoration methods such as deblurring and contrast enhancement. These methods are less practical for harsh and complex actual...

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Problems solved by technology

[0003] Common license plate image restoration methods generally use targeted image restoration methods such as deblurring and contrast enhancement. These methods are less practical for harsh and complex actual surveillance scenes, because real surveillance videos often contain illumination, distance, blur, surveillance, etc. The mixture of various problems such as equipment definition and encoding method, and the blur phenomenon includes motion blur, defocus blur, diffraction blur, etc. The situation is very complicated. The current image restoration methods are often ineffective, and cannot be clearly and accurately License plate image for restoration

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