Publication Type : Conference Paper
Publisher : ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology
Source : ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings, Singapore, p.496-501 (2010)
ISBN : 9781424481019
Keywords : Automatic license plate recognition, Cameras, Connected component, Digital image, Electronic document identification systems, Entire system, Experimental verification, Feature extraction, Image processing, Input image, License plate, License plate recognition, License plates (automobile), LPR, Mathematical morphology, Optical character recognition, Software modules, Template matching, Test results, Theoretical prediction
Campus : Amritapuri
School : School of Engineering
Center : Humanitarian Technology (HuT) Labs
Department : Electronics and Communication
Year : 2010
Abstract :
Automatic License Plate Recognition (LPR) is a technique involving image processing which is used to identify a vehicle by reading its license plate. In this paper we propose a system which is capable of extracting the license plate region from the vehicle's image taken from its rear end. The system consists of a digital camera, software to interface the camera with the software module and the software module which extracts and recognizes the license plate number. The camera captures the image of pre-defined resolution and passes it to the software module. The software module forms the heart of the entire system. It analyzes the input image, identifies the location of the license plate, segments the characters on it and recognizes the characters. The plate region is extracted by using the concept of connected components in the image (mathematical morphology). The characters in the license plate were segmented using digital image labeling and character recognition was done using template matching. The algorithm was implemented in MATLAB and the results obtained agreed with theoretical predictions. The first part of the paper discusses related works and areas of application. The later part of the paper shows experimental verification of the algorithm and test results. © 2010 IEEE.
Cite this Research Publication : Rajesh Kannan Megalingam, Krishna, P., Somarajan, P., Pillai, V. A., and R. Hakkim, U., “Extraction of license plate region in Automatic License Plate Recognition”, in ICMET 2010 - 2010 International Conference on Mechanical and Electrical Technology, Proceedings, Singapore, 2010, pp. 496-501.