Algorithmic and Mathematical Principles of Automatic Number Plate
ALGORITHMIC AND MATHEMATICAL
PRINCIPLES OF AUTOMATIC NUMBER PLATE
RECOGNITION SYSTEMS
Introduction
It is believed that there are currently more than half a billion cars on the roads worldwide. All those vehicles have their vehicle identification number ("VIN") which states a legal license to participate in the public traffic.
No vehicle without properly mounted, well visible and well readable license plate should run on the roads.
The license number is the most important identification data a computer system should treat when dealing with vehicles.
Suppose a company's security manager would like to have a system that precisely tells at every moment where the cars of the company are: in the garage or out on roads. The key issue of this task is that the registration of the movement of the vehicles should be done automatically by the system, otherwise it would require manpower.
Strictly speaking License Plate Recognition System is an integrated hardware + software device that reads the vehicles license plate and outputs the license plate number in ASCII - to some data processing system. Again, License Plate Recognition means Automated Data Input where Data equals the registration number of the vehicle.
License Plate Recognition Algorithms and Technology
Automatic license plate recognition has two essential technological issues: · the quality of the license plate recognition software with its applied recognition algorithms, and · the quality of the optical technology.
The highest the quality of the recognition software is: · the highest recognition accuracy it has, · the fastest processing speed it has, · the most type of plates it can handle, · the widest range of picture quality it can handle, · the most tolerant against distortions of input data it is.
In early years of LPR available software were bound to specific countries. One software could read - for example - Spanish plates only, other could read plates
PRINCIPLES OF AUTOMATIC NUMBER PLATE
RECOGNITION SYSTEMS
Introduction
It is believed that there are currently more than half a billion cars on the roads worldwide. All those vehicles have their vehicle identification number ("VIN") which states a legal license to participate in the public traffic.
No vehicle without properly mounted, well visible and well readable license plate should run on the roads.
The license number is the most important identification data a computer system should treat when dealing with vehicles.
Suppose a company's security manager would like to have a system that precisely tells at every moment where the cars of the company are: in the garage or out on roads. The key issue of this task is that the registration of the movement of the vehicles should be done automatically by the system, otherwise it would require manpower.
Strictly speaking License Plate Recognition System is an integrated hardware + software device that reads the vehicles license plate and outputs the license plate number in ASCII - to some data processing system. Again, License Plate Recognition means Automated Data Input where Data equals the registration number of the vehicle.
License Plate Recognition Algorithms and Technology
Automatic license plate recognition has two essential technological issues: · the quality of the license plate recognition software with its applied recognition algorithms, and · the quality of the optical technology.
The highest the quality of the recognition software is: · the highest recognition accuracy it has, · the fastest processing speed it has, · the most type of plates it can handle, · the widest range of picture quality it can handle, · the most tolerant against distortions of input data it is.
In early years of LPR available software were bound to specific countries. One software could read - for example - Spanish plates only, other could read plates