Abstract
Automatic plate recognition is useful for everyday life, for example for law enforcement, traffic control, access to restricted areas, E-Tolls, or for checking in parking areas. The police number plate or TNKB is the main identity of a motorized vehicle that is roadworthy or operating on the highway. Thus, we can use the license plate to identify the vehicle owner. This study aims to recognize vehicle number plates using an Android smartphone. Using a camera on a handphone to scan the plate image, and it is processed to find out the vehicle owner’s information from the numbered plate being scanned. This study also uses Optical Character Recognition in processing images scanned by the camera where the steps taken are image acquisition, pre-processing, segmentation, normalization, feature extraction and recognition. The results show that the camera on an Android smartphone can be used to read and display information on number plate owners and also show that vehicle plate recognition using Optical Character Recognition based on the tests conducted shows the percentage of successful character recognition on motorized vehicle plates by 75% while the characters are equal to 97.36%.
Sign-in/Register to access full text options 
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 callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: 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.
