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License plate recognition is divided into two steps, one is the license plate extraction, but character recognition.Here is the license plate extraction.VS2010.OpenCV249.Load Image char * path = "D:\\picture\\06.jpg"; Iplimage * f
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Regular Expression of javascript matching license plate number Matching characters include: Jing Z 12345-jing Z12345 ZF 12345-ZF12345 Temporary 12345 temporary 12345 Rules: First Digit: Chinese character or second digit: letter or Chinese character. Third digit can be a space. Followed by 5-7 letters or numbers Final result: $ Str = "Beijing time 12345 "; $ Rg = "/^ [\ x {4e00}-\ x {9fa5} | a-zA-Z
Example:a truck violated the traffic rules and ran away after hitting people. Three people witnessed the scene, but did not remember the car number, only to note some of the characteristics of the car number. A said: The first two digits of the licence are the same; B said: The last two digits of the licence are the same, but different from the first two; C is a mathematician, he said: The four-bit car number is exactly the square of an integer. Please ask for the car number according to the abo
A said the first two bit likewise, B said after the two same, C said the four-digit license plate number is just a number of square. What's the license plate number?Using System;namespace consoleapplication1{ class program { static void Main (string[] args) { int k, C; for (int
Last Update: 29 Jun, 2012 Byoy 2012 You are welcome to discuss related issues with me. Contact: 1429013154 Note: currently, only simple character splitting is implemented. Other studies were interrupted. Source code download: Click the open link Optical Image recognition (OCR) is a very useful technology. In terms of verification code recognition, license plate number recognition, and text recogn
C # interesting program --- license plate number judgment A said that the first two are the same. B said that the last two are the same. B said that the four-digit license plate number is just a square number. What is the license plate
In order to use depth learning to train a character recognition model for license plate recognition, the first problem to be solved is to deal with the data problem, in order to be able to pass the data into the network for training, I use the One_hot code, the specific details are as follows: First prepare the DataSet: part of your own dataset, part of the EASYPR dataset (the latter 500 images as test sets
The realization of OPENCV's CVSVM is based on LIBSVM,LIBSVM, a world-famous SVM library written by Professor Lin Chih-jen of Taiwan University (probably the most widely used library in the industry today). The input of SVM's Perdict method is the characteristic of the data to be predicted, also called features. Here, we enter a feature that is all pixels of the image. Since SVM requires that the input should be a vector, and mat is a matrix corresponding to the width of the image, we need to use
I live in the community in order to manage the vehicles, in the community doorway set up obstacles, at the same time to facilitate the occupants travel, and to each owner issued a parking permit. This piece of paper, behind the front wind, has the right to "free" access to the community. The security guard at the gate will check the parking pass of each car and decide whether to release it. The paper is not large, the property in order to save money, there is no plastic seal, a long time, paper
time for I=row:-1:1 if (a (i) >50) d=d+1; if (d>20) break End Endendq=i+20;f=f (p:q,:);%%%%%%%% revision ends, Success%%%%%%%%%figure,imshow (f)%%%%%%%% continue to add%%%%%%%%%%%x=0;y=0; [Row1 col1]=size (f); for J=1:col1 for I=1:row1 B (j) =b (j) +f (i,j);% longitudinal projection endendfigure,plot (1:col1,b) for j=1:col1% Cut x=x+1 from left to right if (b (j) >7)% vertical projection greater than 50; if (x>15) break end Endendm=j-20;for j=col1:-1:1% is cut from right to left if
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