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

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...

AI Technical Summary

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 expression ability of the traditional autoencoder, enhances the robustness of the model, and solves the overfitting problem to a certain extent , to improve the accuracy of license plate recognition

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