Abstract
This paper reports an improved method for processing the image of a vehicle's license plate when shooting with a smartphone camera. The method for processing the image of a vehicle's license plate includes the following stages: – enter the source data; – split the video streaming into frames; – preliminary process the image of a vehicle's license plate; – find the area of a vehicle's license plate; – refine character recognition using the signature of a vehicle's license plate; – refine character recognition using the combined results from frames in the streaming video; – obtain the result of processing. Experimental studies were conducted on the processing of images of a vehicle's license plate. During the experimental studies, the license plate of a military vehicle (Ukraine) was considered. The original image was the color image of a vehicle. The results of experimental studies are given. A comparison of the quality of character recognition in a license plate has been carried out. It was established that the improved method that uses the combined results from streaming video frames works out efficiently at the end of the sequence. The improved method that employs the combined results from streaming video frames operates with numerical probability vectors. The assessment of errors of the first and second kind in processing the image of a license plate was carried out. The total accuracy of finding the area of a license plate by known method is 61 % while the improved method's result is 76 %. It has been established that the minimization of errors of the first kind is more important than reducing errors of the second kind. If a license plate is incorrectly identified, these results would certainly be discarded at the character recognition stage.
Highlights
High-quality image processing aimed at recognizing a vehicle’s license plate is relevant in security and video surveillance systems
The following tasks have been set: – to define the main stages of the method for processing the image of a vehicle’s license plate when shooting with a smartphone camera; – to process images from streaming video to determine the license plate of a vehicle when shooting with a smartphone camera; – to conduct a comparative assessment of the quality of image processing of a vehicle’s license plate by the known and devised methods when shooting with a smartphone camera
Note that to obtain results using Tesseract and the improved method of symbol recognition using the signature of a license plate, it is necessary to define an additional criterion for selecting the correct value from the sequence
Summary
High-quality image processing aimed at recognizing a vehicle’s license plate is relevant in security and video surveillance systems. Stationary video cameras are used in existing systems of automatic recognition of license plates. There are situations when it is necessary to carry out prompt recognition of the license plate of a vehicle Such an event arises when patrolling as part of military, police, peacekeeping missions, performing tasks as part of mobile outfits for the protection of the state border, during anti-terrorist activities, etc. In such situations, there is no possibility of using stationary video surveillance systems and, existing systems for automatic recognition of license plates. Using existing methods for processing the images of a vehicle’s license plate when shooting with a smartphone camera is not effective. It is a relevant task to devise a method for processing the image of a vehicle’s license plate when shooting with a smartphone camera
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