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parameters. Some parameters have a significant impact on the effect of plate number locating, for example, Gaussian Blur radius, horizontal and vertical weight of the Sobel operator, and closed rectangular width. The cplatelocate class declaration is as follows:
class CPlateLocate {public: CPlateLocate(); //! 车牌定位 int plateLocate(Mat, vector
Note that all classes in easypr are declared in the na
, accurately identify the license plate3. Support multi-platform applicationPerfect support for Android, iOS systemSupport Mobile X86 architecture for ARM platforms and PDAs4, support the most full license plateBlue cards, yellow cards, trailer number plates, the new forces, police license, the newly armed police plate
system, which mainly consists of the collection and pretreatment of license plate image, the location and extraction of license area, the cutting and recognition of license plate character.The basic work steps are as follows:( 1 when the driving vehicle passes, the sensor e
, can identify identity cards, driving licences, business cards and other identification documents, as well as vehicle driving license, license plate number and other vehicle information. With the camera support and video triggering, automatic classification function, can achieve rapid batch acquisition of identity car
-time processing video frame.
Technical difficulties: (1) The diversity of the license plate's own characteristics and the uncertainty caused by the external environment are inaccurate; (2) The real-time is not satisfied by the high computational complexity of the image processing algorithm.
2.2 Key technologies and innovation points
Algorithm: a
process of dividing an image into many parts. This process simplifies image analysis and makes feature extraction easier.
An important feature of license plate segmentation is the high number of vertical edges in the license plate (which is more vertical edges) (assuming the photo is taken from the front, the
platform. A static library applicationlicense plate Recognition and recognition mode : The first video preview modefor Mobile License Plate Recognition of the InterfaceAndroid, iOS Mobile license plate Recognition OCR Technology
platform. A static library applicationlicense plate Recognition and recognition mode : The first video preview modefor Mobile License Plate Recognition of the InterfaceAndroid, iOS Mobile license plate Recognition OCR Technology
we aim to achieve: convenient, fast and accurate to improve front-end staff productivity, enhance C-end user product experience value and purpose .
OCR Mobile License plate Recognition -that is, through the mobile phone/IPAD/PDA handheld terminal, built-in camera video preview (sweep) mode, local offline identification to save the
plate, and the size, these are all to improve the accuracy of License Plate positioning.Character Segmentation: The license plate is located after the character segmentation. the recognition process I use is: noise reduction processing => border
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 i
license plate recognition supports two development and can be embedded directly into third parties APP , in addition to the mobile phone "sweep" function, but also support small programs, private cloud (server) background recognition services. Mobile license plate Recognition Product Features:1, fast: The front-end
License plate recognition has become one of the key work of traffic vehicle management, at present, mobile license plate recognition in China's police service, parking lot handheld charging machine, such as mobile terminal use more widely, if in these terminals can integrate licens
1, mobile license plate recognition TF Card authorization descriptionThrough the smart handheld or PAD camera Alignment license plate, you can choose to use Video preview mode recognition or photo mode, to achieve automatic license
abovehardware configuration: Recommended ARM cortex-a7 above,1G RAMCamera Requirements: Auto focus support, Software installer takes up space,1MAuthorization method:Serial number authorization, authorized by the number of smart terminal clients, time authorization, release authorization, etc.;Mobile-phone license plate recognition supports video recognition and
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: S
License plate Recognition technology (Vehicle License Plate RECOGNITION,VLPR) is an application of computer video image recognition technology in vehicle license plate recognition.Licen
tool to point to the target image or video, as shown below:
Alpr-c us samples/us-1.jpgalpr-c eu samples/eu-clip.mp4
License plate characters will soon be displayed. If you think this tool is good, you can upload an image on the OpenALPR page for testing. The company also provides commercial products that allow users to access recorded
Travel essentials vehicles In the convenience of people to travel at the same time, resulting in a significant increase in vehicle management problems:The number of cars and the development of vehicle managers over time form a big loophole. Thus with the license plate Recognition SDK to help the electronic eye, mobile Police, site survey and other activities, reduce staff pressure.What is the difference bet
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