How to improve the resolution and recognition stability of license plate recognition system

License plate recognition and charging system manufacturers, from the current market point of view, because the Lanxite license plate recognition system can enable vehicles to enter and exit the parking lot without stopping and swiping the card to complete the entry and exit and the charging of external vehicles, it speeds up the vehicle traffic speed, saves the work of card management, and reduces the expenses of management personnel, so it is widely used in major parking lots. However, license plate recognition sometimes often has recognition errors. How to solve this problem and improve the recognition rate? 　　From the external factors, the factors affecting the license plate recognition rate are mainly viewpoint change, light, occlusion, proportion, deformation, complex background, etc. 　　The license plate recognition system used in the parking lot mainly consists of gates, vehicle detectors, high-definition license plate capture cameras, electronic display screens, control centers, etc. The license plates of import and export vehicles are captured by high-definition license plate capture cameras, and the comparison of the before and after pictures is extracted to determine whether the vehicle is released. It can be seen that the license plate recognition parking system has high requirements for the entire system, and the external environment will also have a great impact on the recognition rate.
 

 

For parking lots equipped with license plate recognition parking systems, there are three main reasons that affect the recognition rate:

 
　　First, the parking lot environment should be bright enough. For darker light or at night, some supplementary lighting equipment should be added appropriately. 　　Second, the license plates of vehicles entering and leaving the parking lot should be intact, so that the license plates of each vehicle entering and leaving the parking lot can be captured. 　　Third, the license plate recognition position and the size of the license plate pixel should not be lower than the optimal license plate pixel size. 　　Therefore, optimizing the recognition environment, reducing the complexity of the environment, and slowing down the speed through auxiliary means can effectively improve the license plate recognition rate. 　　From the internal cause, the basis of the license plate recognition system is the license plate recognition algorithm, which is composed of spatial complexity and time complexity, and is divided into five different characteristics: 　　1. The input item is the specific license plate image; 　　2. The output item is the recognition result of the license plate; 　　3. Finiteness is that the evolution process of the algorithm is limited and it is impossible to calculate unlimitedly; 　　4. Exactness is that each calculation step of the algorithm has a precise definition; 　　5. Feasibility is the effect of license plate recognition. 　　By optimizing the above five characteristics, fundamentally optimizing the license plate recognition algorithm is the most effective way to improve the license plate recognition rate.