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Car plate detection method based on multiple feature and low rank matrix representation

A low-rank matrix and license plate detection technology, applied in the field of image technology processing, can solve problems such as weak robustness, large impact of light, and low detection rate

Inactive Publication Date: 2014-05-21
XIDIAN UNIV
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve many factors such as the low detection rate of the license plate detection method in the prior art, the large influence of external light, and the weak robustness. The present invention provides a license plate detection method based on multi-feature low-rank matrix representation

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  • Car plate detection method based on multiple feature and low rank matrix representation
  • Car plate detection method based on multiple feature and low rank matrix representation
  • Car plate detection method based on multiple feature and low rank matrix representation

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Embodiment Construction

[0055] The present invention will be further described below in conjunction with the accompanying drawings.

[0056] Such as figure 1 Shown, the present invention is a kind of license plate detection method based on multi-feature low-rank matrix representation, has target image, and described method comprises the following steps:

[0057] Step 1, input the image to be detected, extract color features and adaptive LBP operator. Suppose the image is g(i,j), and the calculation size is (2 k +1) 2 The average intensity value of pixels in the active window:

[0058] A i ( x , y ) = Σ i = x - 2 k - 1 x ...

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Abstract

The invention discloses a car plate detection method based on a multiple feature and low rank matrix representation. The car plate detection method based on the multiple feature and low rank matrix representation includes: (1) inputting an image; (2) extracting color features and self-adaption LBP operator features; (3) obtaining a multiple feature and low rank matrix representation model; (4) dividing and solving the model so as to obtain a sub model; (5) outputting a fake car plate area and obtaining a final accurate car plate area; (6) correcting a car plate and outputting an image after being positioned. The car plate detection method based on the multiple feature and low rank matrix representation combines a plurality of features of the car plate, can effectively improve robustness and accuracy of car plate detection, reduces false detection rate, and can be used in an intelligent transportation system.

Description

Technical field: [0001] The invention relates to the field of image technology processing, in particular to a license plate detection method based on multi-feature low-rank matrix representation, which is applied to a license plate recognition system in the field of intelligent transportation. Background technique: [0002] The concept of Intelligent Transportation System (Intelligent Transportation System) was proposed by the American Intelligent Transportation Society in the 1990s, and it is a foreword topic in the current transportation field. The license plate recognition system provides a practical and efficient solution for intelligent traffic management, and has attracted extensive research by researchers from various countries. At present, there are many detection algorithms, which are widely used in road violation management, parking lot management system, vehicle recording system and other places. Most cities in China are equipped with mature license plate recogni...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32
Inventor 王卫卫冯象初王佳琳丁亚男
Owner XIDIAN UNIV
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