Home » Source Code » Vehicle license plate recognition based on OpenCV

Vehicle license plate recognition based on OpenCV

hanxiaoflying
2014-08-28 05:22:08
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Category Category:
Image ProcessingImage Processing CPlusPlus, C-C++C++

Description

Overall Functions: Automatic vehicle tracking, detecting and photographing, locating and recognition
Tracking and photographing functions can hardly be regarded as fulfilled 
Fulfilled Function: object tracking in a video: circle the object manually first; an USB camera
For a vehicle license plate image in moving, you can locate the vehicle license plate and use plate splitting, character splitting, character recognition function
Main Interface: Camera On/OFF, Image Catch, Plate Recognition
Turn on the camera to watch the video; move the pointer and circle the object to track it automatically. With the camera on, you can catch an image and save it. Turn off the camera when it is not in use to avoid any possible error to other actions. Plate Recognition will popup a sub–interface. There are Open Image(S), Image Binarization, Plate Location, Character Splitting and Character Recognition buttons. You may click the buttons in sequence: Open Image(S), Image Binarization ,Plate Location, Character Splitting and Character Recognition button. The result will displays after finishing the operations. The result is relatively accurate as long as the image is in the proper size, not too big nor too small.
Detailed comments are included in the plate recognition unit.
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Comments

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richard52
2015-02-03

最近正在找此类的信息,看着里面的去试试啊,xx

xuanmiao
2015-03-16

正在找相关的资料,看看能不能借鉴一下。

xuanmiao
2015-03-16

好像不是我想要的东西,不过还是能学到一些东西的。

try114
2015-04-21

这个很不错的资源,大家都来看看啊啊。

salvix22
2015-05-20

there is no source code all are 0.0 B, work?

king solomon
2015-05-26

垃圾,还要收费,打着共享的旗号,叫人注册后,下载却要收费

brainstorm1
2017-02-12

seems very interesting, do you have any test data for this ? I would like to run this on an autonomous test station like a xxxPI based system

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Vehicle license plate recognition based on OpenCV (158.71 kB)

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