A license plate detection method and device
A license plate detection and license plate technology, which is applied in the field of image processing, can solve the problems of the embedded device's operation speed being difficult to meet the requirements, missed detection, and a large amount of calculation, so as to achieve the effect of large-angle detection.
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Embodiment 1
[0038] figure 1 The implementation flow of a license plate detection method provided by the first embodiment of the present invention is shown, and the details are as follows:
[0039] S101, use the HOG model to perform multi-scale detection on the image, and extract the frame area detected by the HOG model.
[0040] Use the HOG (Histogram of oriented gradients) gradient direction histogram feature to characterize each positive and negative sample to form a HOG feature vector. HOG describes the local gradient magnitude and direction features of the image, and normalizes the feature vector of the block based on the gradient feature. HOG allows blocks to overlap each other, so it is not sensitive to illumination changes and small offsets, and can effectively describe edge features. The license plate detection effect is good for large angles. Afterwards, the HOG model is established through the formed HOG feature vector, and the multi-scale detection is carried out through the...
Embodiment 2
[0049] figure 2 The implementation flow of a license plate detection method provided by the second embodiment of the present invention is shown, and the details are as follows:
[0050] S201. Establish a HOG model according to the collected positive and negative samples.
[0051] A large number of license plate pictures and non-license plate pictures are selected as positive and negative samples of the training set. The selection process can be manually selected, and then each positive and negative sample is characterized by using HOG features to form a feature vector and establish HOG Model.
[0052] S202, converting the image, converting the image into a grayscale image; scaling the image.
[0053] First, convert the image captured by the camera into a grayscale image. By converting the image into a grayscale image, the amount of calculation for image processing can be reduced; the converted image is scaled, and the specific implementation In the process, the width and hei...
Embodiment 3
[0066] image 3 A structural diagram of a license plate detection device provided by the third embodiment of the present invention is shown, and for convenience of description, only parts related to the embodiment of the present invention are shown.
[0067] The frame area extraction unit 31 is configured to use the HOG model to perform multi-scale detection on the image, and extract the frame area detected by the HOG model.
[0068] The box area extraction unit is used to characterize each positive and negative sample using HOG features to form HOG feature vectors. HOG describes the local gradient magnitude and direction features of the image, and normalizes the feature vector of the block based on the gradient feature. HOG allows blocks to overlap each other, so it is not sensitive to illumination changes and small offsets, and can effectively describe edge features. The license plate detection effect is good for large angles. Afterwards, the HOG model is established thro...
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