A Model for License Plate Recognition
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 6
Abstract
License plate recognition (LPR) plays an important role in various applications like transportation systems, traffic monitoring, and detection of stolen vehicles, driver navigation support or any statistical research. A number of methods have been proposed, but only for particular cases and working under constraints (like fixed illumination, limited vehicle speed, designated routes, and stationary backgrounds). This paper presents a robust model of license plate recognition that uses optical character recognition on images to read vehicle registration plates. The software aspect of the system runs on standard home computer hardware and can be linked to other applications or databases. It first uses a series of image manipulation techniques to detect, normalize and enhance the image of the number plate, and then optical character recognition (OCR) to extract the alpha-numeric of the license plate.
Authors and Affiliations
Shambhavi Mudra, Sunil Nijhawan, Vishesh Nasir
Keywords
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