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Vehicle face recognition method and device

A recognition method and vehicle face technology, which is applied in the field of image processing, can solve problems such as blurred vehicle face images, affecting the accuracy of vehicle face positioning, and skewed vehicle images, achieving the effect of improving real-time performance and accuracy

Inactive Publication Date: 2017-02-08
王玲
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Problems solved by technology

Vehicle face recognition involves image processing. In the current vehicle face recognition system, the image of the vehicle is skewed due to vehicle shaking, the image of the vehicle face is blurred due to stains and wear, and the image of the vehicle face is blurred due to uneven lighting. less affect the accuracy of vehicle face positioning, thereby affecting the accuracy of the vehicle face recognition system

Method used

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  • Vehicle face recognition method and device
  • Vehicle face recognition method and device

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Embodiment Construction

[0041] Below in conjunction with accompanying drawing and specific embodiment, the present invention will be further described:

[0042] like figure 1 As shown, the present invention relates to a kind of vehicle face recognition method, and its preferred embodiment comprises the following steps:

[0043] Step 101: Capture and obtain the car face image by camera, and collect and store it in a folder.

[0044] Step 102: Read the car face image stored in the folder for preprocessing, the preprocessing includes converting the collected color image into a grayscale image, that is, grayscale image, and grayscale stretching, image processing Noise and enhancement, image edge detection, image binarization. The image is grayscaled using the weighted average method.

[0045] The weighted mean mean method is:

[0046] g=W R R+W G G+W B B (1)

[0047] Formula (1), W R , W R , W B They are the weights of R, G, and B respectively. When the weights take different values, grayscale...

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Abstract

The invention discloses a vehicle face recognition method and device. The method comprises the steps that a vehicle image is acquired; the acquired video face image is preprocessed, wherein preprocessing includes the steps that the acquired color image is converted into a grayscale image, and gray stretching, image noising and enhancement, image edge detection and image binarization are performed on the grayscale image; vehicle face image positioning is performed on the vehicle face image after preprocessing, wherein vehicle face image positioning includes the steps of color recognition, shape recognition and texture recognition; vehicle face tilt correction is performed on the vehicle face image after vehicle face image positioning, and then vehicle face image positioning is performed again; feature extraction is performed according to the vehicle face positioning coordinates after secondary vehicle face image positioning, and binarization processing is performed on the extracted features; and the feature part of the video face image after binarization is recognized by using the one-to-many classifier of a SVM. The real-time performance and the accuracy of a vehicle face recognition system can be mainly enhanced so that the recognition system is enabled to be more intelligent, effective and accurate.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a vehicle face recognition method and device. Background technique [0002] With the improvement of people's living standards, the use of cars is growing at a high speed every year, which makes the vehicle face recognition system play a very important role in the traffic management system. The continuous development of intelligent transportation makes the vehicle face recognition system have a higher demand. Require. Vehicle face recognition involves image processing. In the current vehicle face recognition system, the image of the vehicle is skewed due to vehicle shaking, the image of the vehicle face is blurred due to stains and wear, and the image of the vehicle face is blurred due to uneven lighting. The accuracy of vehicle face positioning is less affected, thereby affecting the accuracy of the vehicle face recognition system. Contents of the invention [0003] Aiming at ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/584G06V2201/08G06F18/2411
Inventor 王玲
Owner 王玲
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