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License plate recognition works
The license plate recognition is a pattern recognition technology that uses the dynamic video or static image of the vehicle to automatically identify the license plate number and the license plate color. The core technologies include license plate location algorithm, license plate character segmentation algorithm and optical character recognition algorithm. A complete license plate recognition system should include vehicle detection, image acquisition, license plate recognition and other parts. When the vehicle detection section detects the arrival of the vehicle, the image acquisition unit is triggered to collect the current video image. The license plate recognition unit processes the image, locates the position of the license plate, and then separates the characters in the license plate to recognize it, and finally composes the license plate number.
The vehicle detection part usually adopts the sense coil or radar, and some license plate recognition systems also have the function of judging whether there is a car through the video image, which is called video vehicle detection.
Since the roads are open 24 hours a day, the license plate recognition system needs to work all day and all-weather. In order to ensure the accuracy of identification at night, an LED strobe light or flash can be used to fill the light. 
Vehicle detection: It can detect the passage of the vehicle through various methods such as buried coil detection, infrared detection, radar detection technology, and video detection, and triggers image capture and capture.
Image acquisition: Real-time, continuous recording and acquisition of passing vehicles through high-definition video capture.
Preprocessing: noise filtering, auto white balance, auto exposure and gamma correction, edge enhancement, contrast adjustment, etc.
License Plate Positioning: Rows are scanned on the grayscale image after image preprocessing to determine the license plate area.
Character segmentation: After the license plate area is located in the image, the character area is accurately positioned through processing such as graying and binarization, and then character segmentation is performed according to the character size feature.
Character recognition: The segmented characters are scaled, extracted, and matched with the standard character representation in the character database template.
Result output: The license plate recognition result is output in text format.
Application specific license plate recognition <br> <br> parking and parking applications and cell-cell entrance doorway license plate recognition technology, mainly used for recording the license plate number of the vehicle, plate color, access time, automatic management of the vehicle, in order to save Manpower, improve efficiency; for example, it can be used in smart communities to automatically determine whether the entry vehicle belongs to the local community and implement automatic hourly charging for non-inner vehicles. In some units, this application can also be combined with the vehicle dispatch system to automatically and objectively record the vehicle's outbound condition. 
The management of parking lots and residential entrances and exits is very difficult to manually remember the license plate number and the stopping time of passing vehicles. It will not only cause mistakes, but also require a lot of manpower. A small license plate recognition device installed at the entrance and exit of the parking lot can solve many problems once and for all. For the license plate is blocked, broken paint, blurred and unclear, etc. can also be analyzed and identified, for the parking lot and the entrance staff to save a lot of trouble.
Highway toll stations
At present, the development of highway construction in China is rapidly advancing, and highways extend in all directions. Each exit is provided with a toll station, which facilitates fee management on the one hand, and on the other hand can assist in the standard management of traffic on the highway. The application of the license plate recognition technology at the entrance and exit of the expressway toll station can greatly facilitate the identification of the license plate information of the illegally driven vehicle and effectively manage and arrest some illegal vehicles. 
Toll booth bayonet bays are generally located in open-air environments, coupled with some vehicles running faster, and therefore require high requirements for license plate recognition technology. The traditional license plate recognition is to identify the license plate of 160P pixels, the effective image range is small, and the license plate leakage rate is high, which can not meet the needs of the toll station bayonet. The application of high-definition license plate recognition now solves the problem of low license plate recognition rate, which provides a reliable basis for the enforcement of * and *.
A license plate recognition system is installed at the entrance and exit of the toll station. When a vehicle enters, the system recognizes the vehicle license plate and sends the identified license plate information to the designated central management server. It compares the license plate information of the suspicious vehicle with the data in the database. It can be judged whether the vehicles entering and exiting the tollgate of the expressway are stealing suspicious vehicles, which can greatly avoid the occurrence of illegal crimes and provide reference information for the cases that have occurred.
In the mouth card highway applications <br> <br> with an increase in mileage of highway construction, the overall improvement of people's living standards, more and more people now buy a car, resulting in a variety of violations of the law to the highway. The license plate recognition technology is a necessary basis for illegal penalties for vehicles. It can automatically detect and identify vehicle number plates in videos. The most typical one is the security bayonet system. If there is no license plate recognition technology, there is no real sense of intelligence in the system. . 
A well-established security bayonet management system should have three major functions: license plate automatic identification, bayonet application system and central management platform. License plate recognition is the most important part of it. The merits of license plate recognition directly affect the overall performance of the bayonet system, and the recognition speed is one of the most important technical indicators. The recognition speed is fast, the system resources that need to be occupied by the system are small, the possibility of manual intervention is small, and the operating burden of the system network is also reduced correspondingly. Recognizing license plate speed is fast and accurate. The license plate recognition system can effectively achieve automatic comparison alarm and avoid a large number of false alarms. It can provide powerful and reliable information for crime detection such as anti-theft vehicles, deck vehicles, and illegal robbery vehicles.
In urban transport applications <br> <br> recent years, with the rapid social and economic development, the rapid growth in the number of vehicles, road transport has become more and more busy. The contradiction between the status quo and demand for traffic management has been further intensified, and traffic-related criminal and public security cases have also increased year by year. Under this circumstance, how to use advanced scientific and technological means to enhance the inspection and control of motor vehicles and drivers in the city by the management department and provide scientific and technological means for combating all kinds of illegal and criminal acts is an urgent problem for the traffic management department. . 
In order to effectively curb vehicle red light violations in the city, all the intersections in the city are now installing bayonet-based red light violation detection systems. The most important component of this system is the license plate recognition module. The license plate recognition system is mainly to determine the illegality. The vehicle information captures license plate information of all vehicles and compares them with the database of *.net to analyze which vehicles are suspicious vehicles. It can also reduce and control road traffic accidents while reducing illegal activities. It applies road monitoring equipment combined with modern information network technology. An intelligent network system for road monitoring has been formed to better enhance the dynamic management/control of roads and meet the business needs of the new situation of law and order, criminal investigation and traffic management.
License plate recognition working principle and application analysis
With the development of society and economy and the rapid increase in the number of automobiles, the requirements for traffic control, safety management, and toll management have also been increasing. The use of electronic information technology to achieve safe and efficient intelligent transportation has become the main development direction of traffic management. As a computer vision and pattern recognition technology, license plate automatic recognition technology has been widely used in the field of intelligent transportation.