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Improved license plate localisation algorithm based on morphological operations

Content Provider	IET Digital Library
Author	Yepez, Juan Ko, Seok Bum
Abstract	Automatic license plate recognition (ALPR) systems have become an important tool to track stolen cars, access control, and monitor traffic. ALPR system consists of locating the license plate in an image, followed by character detection and recognition. Since the license plate can exist anywhere within an image, localisation is the most important part of ALPR and requires greater processing time. Most ALPR systems are computationally intensive and require a high-performance computer. The present algorithm differs significantly from those utilised in previous ALPR technologies by offering a fast algorithm, composed of structural elements which more precisely conducts morphological operations within an image, and can be implemented in portable devices with low computation capabilities. The present algorithm is able to accurately detect and differentiate license plates in complex images. This method was first tested through MATLAB with an on-line public database of Greek number plates and was 100% accurate in all clear images, and achieved 98.45% accuracy when using the entire database which included complex backgrounds and license plates obscured by shadow and dirt. Second, the efficiency of the algorithm was tested in devices with low computational processing power, by translating the code to Python, and was 300% faster than previous work.
Starting Page	542
Ending Page	549
Page Count	8
ISSN	1751956X
Volume Number	12
e-ISSN	17519578
Issue Number	Issue 6, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/12/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2017.0224
Journal	IET Intelligent Transport Systems
Publisher Date	2018-02-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Access Control ALPR System Automatic License Plate Recognition Character Detection Character Recognition Computer Vision And Image Processing Technique Greek Number Plate High-performance Computer Image Recognition Improved License Plate Localisation Algorithm MATLAB Monitor Traffic Morphological Operation Online Public Database Portable Device Road Vehicle Structural Element Track Stolen Cars Traffic Engineering Computing
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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