Home » Source Code » Summary of license plate recognition

Summary of license plate recognition

2016-10-09 09:18:46
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The basic idea:1, first convert a picture to a grayscale image

2, the use of Robert edge detection operator

3, corrosion images

4, image clustering, fill images

5, removing agglomerates gray scale values less than 2500 parts

6, the license plate segmentation images

The blue license plate recognition not only for ordinary, can also identify black and white license plate

Could be more because the size of the picture programs run themselves changed the whole agglomeration gray, roborts operators fill the size of the image.

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File list

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Name Size Date
01.97 kB
a.m2.25 kB2016-10-07|19:08
img1.png52.53 kB2016-09-28|12:40
img10.jpg33.28 kB2016-08-18|16:52
img2.jpg19.72 kB2016-08-18|16:41
img3.jpg33.13 kB2016-09-28|12:40
img4.jpg52.61 kB2016-09-28|12:41
img5.jpg39.09 kB2016-09-28|12:41
img6.jpg10.53 kB2016-09-28|12:41
img7.jpg22.33 kB2016-08-18|16:40
img8.jpeg8.65 kB2016-09-28|12:42
img9.jpg11.76 kB2016-09-28|12:42
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