License plate detection method based on color texture analyzer and machine learning

A machine learning, color texture technology, used in license plate detection based on color texture analyzer and machine learning, license plate detection based on color features, texture features and support vector machines, and license plate detection. Equalize the problem to achieve the effect of a good connection

Active Publication Date: 2015-12-30
SOUTH CHINA UNIV OF TECH
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  • Abstract
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Problems solved by technology

[0003] The object of the present invention is to overcome the shortcomings and deficiencies of the prior art, and provide a license plate detection method based on a color texture analyzer and machine learning. The license plate detection method solves the interference problem of color changes caused by uneven illumination, and corrects License plate pictures with too large tilt angle or deformation improve the positioning accuracy of white license plates under white vehicles

Method used

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  • License plate detection method based on color texture analyzer and machine learning
  • License plate detection method based on color texture analyzer and machine learning
  • License plate detection method based on color texture analyzer and machine learning

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Embodiment

[0049] like figure 1 As shown, a license plate detection method based on color texture analyzer and machine learning is a license plate location algorithm that combines color and texture features to initially locate the license plate, and then verifies the license plate through a supervised classifier. In this method, the edge detection based on the sobel operator is performed on the preprocessed image firstly, and then the target edge parts are connected by the proposed segment connection method. For the license plate area obtained after the texture detection step, the Hough transform method is used to find the straight line near the license plate, and the four boundaries closest to the license plate are selected according to the decision method of distance and proportion, so as to find the four vertices of the license plate and carry out transmission transformation. Correction of license plate images. Next, the present invention judges the blue, yellow and white background ...

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Abstract

The invention discloses a license plate detection method based on a color texture analyzer and machine learning. The detection method comprises the following steps: step 1, carrying out texture feature extraction on a picture after preprocessing; step 2, carrying out transmission conversion on a candidate license plate graph after the texture feature extraction to correct a license plate inclination angel; step 3, determining an under color of the license plate, and carrying out color feature extraction on a blue or yellow license plate twice to lock a target position; step 4, carrying out secondary texture feature extraction on a white license plate; and step 5, carrying out machine learning determination on a candidate license plate after feature extraction. The detection method has advantages of high accuracy and broad application prospect and the like.

Description

technical field [0001] The invention relates to a license plate detection technology, belongs to the field of computer image processing, and in particular relates to a license plate detection method based on a color texture analyzer and machine learning. The invention is a license plate detection based on color features, texture features and support vector machines. method. Background technique [0002] With the rapid development of society, people's demand for private cars is increasing, which brings huge traffic pressure and affects people's normal travel. License plate recognition is an important part of intelligent transportation, but the current license plate recognition method is only suitable for simple scenarios due to its own limitations, such as community management entrances, parking lot toll entrances, etc. As the unique marking identifier of the vehicle, the recognition of the license plate is of great significance for the monitoring of the vehicle. In the fut...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/56G06F18/2411
Inventor 徐雪妙龙伟健胡枭玮周标
Owner SOUTH CHINA UNIV OF TECH
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