License plate character segmentation method based on grey level histogram binaryzation
A grayscale histogram and character segmentation technology, which is applied in the field of license plate recognition, can solve problems such as the decrease in accuracy of segmentation, large differences in character segmentation effects, and large dependence on binary images, so as to achieve the effect of easy area segmentation
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[0033] The license plate character segmentation method based on grayscale image binarization of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0034] Such as figure 1 As shown, a license plate character segmentation method based on grayscale image binarization, including the following steps:
[0035] (1) Convert the original color license plate image into a grayscale image (such as figure 2 shown), calculate the gray mean r of the region of interest in the gray image avg , and the number of pixels corresponding to each gray value.
[0036] The original color license plate image is converted into a grayscale image, according to the following formula:
[0037] Y=0.110B+0.588G+0.302R
[0038] Among them, Y is the gray value, and B, G, R are the values of the primary color spectral components in the BRG color model.
[0039] The grayscale image of the license plate is a rectangle, cut off 1 / 5 of the upper and lower...
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