Abstract
License Plate Identification from Myanmar Vehicle Images under Different Environmental Conditions
Highlights
Vehicle license plate identification is essential in numerous situations in which it is important to distinguish vehicles for traffic control in unplaited areas, electronic payment of tolls on highways and bridges, and public security systems
The results showed effective performance for identified number recognition with an adaptive template matching system.[17]. LPD in video images was proposed by Elbamby et al This novel algorithm can detect numerous lisence plates in an actual time for different sizes in an unfamiliar and complicated situation.[18]. Plate detection by a robust and efficient method for the motivation of accurately localizing vehicle license plates from a complex location in real time has been suggested.[19]. Miyata and Oka described a method for LPD in vehicle images
Different environmental conditions make it difficult to identify a region of interest (ROI), i.e., a license plate in an original image by traditional methods
Summary
Vehicle license plate identification is essential in numerous situations in which it is important to distinguish vehicles for traffic control in unplaited areas, electronic payment of tolls on highways and bridges, and public security systems. License plate recognition (LPR) uses optical character recognition on vehicle images to read the license plates. Because there are various types of vehicles, the vertex of the plate from the ground varies depending on the car model; the plate may be located on the lower left or lower right part of the ISSN 0914-4935 © MYU K.K. https://myukk.org/. Besides these variations in the placement of the plate on vehicles, the distance between the camera and the vehicles may vary. This is important because the location of the plate inside the captured image plays a critical role. Myanmar-character and Englishcharacter license plates were studied. Myanmar-character plates are required to advance the related modern technologies
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.
