License plate detection and identification method based on maximum stable extremal region
A technology of maximum stable extreme value and extreme value area, which is applied in character and pattern recognition, image data processing, instruments, etc., and can solve problems such as products that cannot be put into use in a large range, stay in a narrow range, etc.
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[0084] License plate detection is divided into two stages:
[0085] (1) Learning stage:
[0086] Step 1: First convert the image to be recognized into a grayscale image. Extract the maximum stable extremum area to obtain the candidate license plate text area.
[0087] Step 2: Select a sample:
[0088] The requirement of the training sample is the sub-image surrounded by the smallest rectangle that contains the MSER region. The size of the training samples is normalized to 24×48 pixels, and the ratio of positive examples to negative examples is 1:2. Each sample, especially the negative examples, is different and each has a certain representativeness;
[0089] Step 3: Design a group of Gabor filters to extract the texture features of the sub-image, the specific method is:
[0090] 1) A Gabor filter bank comprising 5 scales (u=0, 1, 2, 3, 4) and 8 directions (v=0, 1, ..., 7) is adopted, and there are 40 filters in total, each Each filter has a size of 32×32. The dimensional...
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