License plate classification and recognition method based on Gabor feature auto-encoder

A self-encoder, license plate classification technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve the problem of insufficient expression ability of self-encoder, and achieve the effect of strong expression ability and high recognition accuracy

Pending Publication Date: 2020-02-04
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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Problems solved by technology

[0026] An object of the present invention is to provide a license plate classification and recognition method based on the Gabor feature autoencoder, which solves the problem of insufficient expr

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  • License plate classification and recognition method based on Gabor feature auto-encoder
  • License plate classification and recognition method based on Gabor feature auto-encoder
  • License plate classification and recognition method based on Gabor feature auto-encoder

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[0046] The present invention will be further described below in conjunction with the examples, but it is not intended to limit the present invention.

[0047] Please refer to Figure 1. The process of the license plate classification and recognition method based on the Gabor feature autoencoder is as follows, including the steps:

[0048] Step (1) License plate image preprocessing. The input samples are normalized, and the standard deviation standardization method is used here. The standardized data conforms to the standard normal distribution, that is, the mean is 0 and the variance is 1. Its conversion function is:

[0049] x=(x-u) / σ

[0050] where u is the mean of the sample and σ is the standard deviation of the sample.

[0051] At the same time, in order to reduce the noise of the license plate image, Gaussian smoothing preprocessing is performed on the license plate, such as image 3As shown, the left side is the original image, and the right side is the Gaussian smoo...

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Abstract

The invention discloses a license plate classification and recognition method based on a Gabor feature auto-encoder. The method comprises the following steps: step 1, preprocessing a license plate image; step 2, performing pyramid zooming processing on the preprocessed license plate image; step 3, carrying out Gabor transformation on the license plate image subjected to zooming processing in the step 2; step 4, carrying out local sampling on the license plate image subjected to scaling processing in the step 2 to obtain a license plate image block, and carrying out local sampling on the license plate image subjected to Gabor transformation in the step 3 to obtain a local Gabor feature block; step 5, inputting the license plate image block and the local Gabor feature block obtained in the step 4 into an auto-encoder network with Gabor features, and solving parameters in the auto-encoder network structure with Gabor features through a back propagation algorithm; step 6, extracting license plate features; and step 7, performing license plate classification and recognition for the license plate features obtained in the step 6. According to the method, the over-fitting problem can be solved to a certain extent, and the license plate recognition accuracy is improved.

Description

technical field [0001] The invention relates to a license plate classification and recognition method, in particular to a license plate classification and recognition method based on a Gabor feature autoencoder. Background technique [0002] The Gabor feature is very common in image processing and can generally be used to extract edge features of an image. The frequency and direction of the Gabor filter are very close to the human visual system, which is suitable for the texture expression and separation of the target. Because the Gabor filter is sensitive to the edge of the image, it can provide good direction selection and scale selection characteristics, and it is not sensitive to illumination changes, and can provide good adaptability to illumination changes, so Gabor features are widely used in the field of image processing. [0003] In the spatial domain, a two-dimensional Gabor filter is a Gaussian kernel modulated by a sinusoidal plane wave. [0004] The complex fo...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V20/54G06V10/449G06V20/625G06F18/2411G06F18/214
Inventor 吴蔚左毅贺成龙李晓冬陈超
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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