At present, a small car, one into the community, parking full of cars, a car has become commonplace. And check the driving license violation record, pay illegal fines, with the development of mobile interconnection, so that these previously need to run the bank, run traffic Police Brigade matters, now through the mobile phone side can be solved. But the mobile phone also has a disturbing place, that is, the manual entry of the driver's
With the development of mobile phone and tablet computer and mobile communication, the information system on PC is gradually transferred to the intelligent terminal equipment. It is anticipated that over 60% of the business in the next few years will be gradually transferred to the intelligent Terminal System. OCR recognition technology is no exception, the mobile OCR recognition is also gradually emerging.Driving license identification is an Android
1, 2008r2 installation adjustment1.1 System RequirementsSupported Operating systems:
Windows 8.1 Professional Edition and Enteprise Edition
Windows 8 Professional Edition and Enteprise Edition
Windows 7 Professional Edition, Enterprise Edition, and Ultimate Edition
Windows Server R2 Standard Edition and Datacenter Edition
Windows Server Standard Edition and Datacenter Edition
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ANPR (automatic number plate recognition) is divided in two main steps: plate detection and plate recognition. Plate detection has the purpose of detecting the location of the plate inWhole camera frame. When a plate is detected in an image, the plate segment is passed to the second step -- Plate Recognition -- which uses an OCR algorithm to determine the alphanumeric characters on the plate.
I. Plate Detection
1. Segmentation: it is the process of dividing an image into multiple segments.
One i
The process of License Plate Recognition can be divided into three steps: License Plate positioning, character segmentation, and character recognition.
You can perform the following steps to create a subdivision:
(1) grayscale and binarization Images
(2) remove noise and cut it into one character
(3) extract features of each character and generate feature vectors or feature Matrices
(4) Classification and l
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First, the preface
This article mainly uses the YOLO V2 to train own license plate picture data, and can frame the license plate area which exists in the test picture, also is the license plate detection. This article refers to Bowen http://m.blog.csdn.net/qq_34484472/article/details/73135354 and http://blog.csdn.net/zhuiqiuk/article/details/72722227.
Ii. Prepara
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Advantages of the Mobile license plate recognition OCR system:1. Fast recognition Speed: Highly optimized license plate location and recognition algorithm, the recognition time ≤ milliseconds ( million pictures ). 2, recognition rate: Daytime recognition rate ≥99.7%; Night recognition rate ≥98%. 3, recognition Speed: Single image recognition time ≤ milliseconds ( million images). 4, pixel width:60-400 pixel
Failure phenomenon:
How does the VNXE system without Internet connection obtain and activate licenses?
Solution:
If your vnxe system doesn't have an Internet connection, you can get system license files from a computer that has an Internet connection and upload them to the VNXE system.
To obtain and activate the VNXE system license:
The task you need to complete is to get the Vnxe Product ID and you ca
In previous versions of ArcGIS Desktop, if you use the floating license on a server, you must maintain connectivity with the server before you can use the license above. With the new features of 10, it is now possible to "lend" a license from the server, use it offline, and return the license back to the server when fi
After the key has been matched. We typically make a backup of the certificate, which is a P12 file.This p12 file is very useful, it contains not only the information of the CER, but also the private key information, namely: P12 backup file = CER file + private key; So with this p12 there is no need to worry about certificates being lost.3,mobileprovition fileIf the development certificate lets Apple believe that you are a legitimate developer, then this lice
Problem occurs when you are finished with the environment, when you build the APK>ionic Build AndroidProblem Description:BUILD failedtotal time:9 mins 18.732 secsfailure:build failed with a exception.* what went wrong:a problem occurred con Figuring root project ' Android ' .> you has not accepted the license agreements of the following SDK components:[android SDK Platform 25]. Before building your project, you need to accept the
OpenALPR can be used as a License Plate Recognition System.GuideNetwork monitoring cameras have now become one of the most important security tools, but you may not have time to view what the cameras have captured, so that their functions will not be so great. There is an open-source software library called OpenALPR (Automatic License Plate Recognition) that may help you to make common cameras your own Auto
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Introduced:In the past I used to like whether there was a software to help the authorization, it can be very simple to create license, and very easy to verify the license.This is a very common and public function, but I did not find the right open source software, most of the open source software is more complex, and there are too many features I do not need.So I created this project and I wanted to make the authorization process simple.Using code:Eas
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First, preface
This article refers to the automatic license plate recognition project in the deep understanding of OPENCV practical Computer Vision Project analysis, and then carries on the practice after understanding the method. The difficulty of accurately identifying the sequence of the characters in the license plate area is to realize the exact location of the li
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