Abstract
License plate recognition (LPR) applies image processing and character recognition technology to identify vehicles by automatically reading their license plates. The work presented in this paper aims to create a computer vision system capable of taking real-time input image from a static camera and identifying the license plate from extracted image. This problem is examined in two stages: First the license plate region detection and extraction from background and plate segmentation to sub-images, and second the character recognition stage. The method used for the license plate region detection is based on the assumption that the license plate area is a high concentration of smaller details, making it a region of high intensity of edges. The Sobel filter and their vertical and horizontal projections are used to identify the plate region. The result of testing this stage was an accuracy of 67.5%. The final stage of the LPR system is optical character recognition (OCR). The method adopted for this stage is based on template matching using correlation. Testing the performance of OCR resulted in an overall recognition rate of 87.76%.
Highlights
License plate recognition (LPR) technology applies image processing techniques to identify vehicles by automatically reading their license plates
Automatic License Plate Recognition systems are usually installed in places of interest for intersection control and traffic monitoring points to identify vehicle that violates traffic laws or to find stolen vehicles
Many techniques are developed for recognition of number plates [1] such as Support Vector Machine (SVM) [2] neural network character recognition [3] [4], pattern or template matching [5] [6] etc
Summary
License plate recognition (LPR) technology applies image processing techniques to identify vehicles by automatically reading their license plates. (2016) Libyan Licenses Plate Recognition Using Template Matching Method. Abdella [6] and test its performance on Libyan License plate. As the Libyan authority is working to redesign their car plate, it is important to consider the LPR requirement to improve the systems performance. An overview of the paper is as follows: In Section 2, the main elements of designed License plate recognition system is discussed and the steps involved in the recognition process are introduced. This includes the first the stage of license plate segmentation and second the OCR algorithm to identify the license digits.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
