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Vehicle license plate identification method and system based on neighboring multi-classifier combination

A multi-classifier, license plate recognition technology, applied in the field of license plate recognition system, can solve the problem that the contribution of the classifier does not reach the maximum, and the maximum utility of the classifier cannot be exerted.

Inactive Publication Date: 2016-07-06
JIANGSU KING INTELLIGENT SYST +1
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

However, such a method still cannot maximize the effectiveness of each classifier.
The contribution of different classifiers in sample recognition has not reached the maximum

Method used

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  • Vehicle license plate identification method and system based on neighboring multi-classifier combination
  • Vehicle license plate identification method and system based on neighboring multi-classifier combination
  • Vehicle license plate identification method and system based on neighboring multi-classifier combination

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Experimental program
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Embodiment Construction

[0046] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0047] figure 1 The overall model of the license plate recognition system of the present invention and the functions of each part of the modules are described.

[0048] The application of multi-classifier integration in the license plate recognition system mainly includes a single classifier training module, a multi-classifier weight dynamic adjustment fusion module and a test sample decision module.

[0049] The classifier training module is the process of training various classifiers. Its core is to adjust different training parameters, kernel functions and different training data sets. The classifiers trained on this basis are independent of each other, independent of each other, and can eliminate the chance of test results.

[0050] Multi-classifier weight dynamic adjustment fusion module. Based on the selected K neighbors of...

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Abstract

The present invention discloses a vehicle license plate identification method and system based on neighboring multi-classifier integration. A method of multi-classifier integration is applied to the vehicle license plate identification system, so as to improve vehicle license plate identification accuracy. By means of different classifiers obtained by means of multi-classifier training, and according to a neighbor of a testing sample, feeding accuracy rates of testing classification results of the different classifiers. On this basis, weights of the different classifiers in a vehicle license plate identification process are set. when performing a test on a detection sample, effect sizes of the different classifiers in the identification process can be set according to features of different samples. According to the method and system provided by the present invention, centralized training using the classifiers improves vehicle license plate detection precision and avoids an erroneous classification problem generated due to simplification of classification results, so that the method and system have high practical value and can be applied to the fields such as automatic vehicle identification of expressway toil station, intelligent traffic violation detection and urban road traffic monitoring.

Description

technical field [0001] The invention belongs to the field of computer vision, relies on machine learning and pattern recognition, relates to multimedia technology and image processing technology, and is specifically a license plate recognition system developed by using a multi-classifier integration method. Background technique [0002] Modern society is a highly computerized, automated and networked society. The purpose of the present invention is to be able to create a more effective license plate recognition system in the field of intelligent transportation. License plate recognition plays a pivotal role in modern intelligent transportation. The existing license plate recognition system is to extract the characteristics of the license plate sample and send it to a single classifier for classification and recognition. In the field of multimedia technology, such a single classifier recognition technology There is also a big flaw, and the recognition accuracy is not high. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2433G06F18/25G06F18/241
Inventor 沈项军张文超蔡炜詹永照彭长生
Owner JIANGSU KING INTELLIGENT SYST
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