NDLI: License plate recognition based on support vector machine

Content Provider	IEEE Xplore Digital Library
Author	Abdullah, S.N.H.S. Omar, K. Sahran, S. Khalid, M.
Copyright Year	2009
Description	Author affiliation: Center of Artificial Intelligence and Technology (CAIT), Faculty of Information System and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia (Abdullah, S.N.H.S.; Omar, K.; Sahran, S.) \|\| Center of Artificial Intelligence and Robotics (CAIRO), Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 54100 Jalan Semarak, Kuala Lumpur, Malaysia (Khalid, M.)
Abstract	This Different types of license plates being used, the requirement of an automatic license plate recognition system is different for each country. In this paper, an automatic license plate detection system is proposed for Malaysian vehicles with standard license plates based on image processing and clustering. After applying image enhancement, the image is segmented using clustering and run length smoothing algorithm approach to identify the location of the license plate. A proposed algorithm called Cluster Run Length Smoothing Algorithm approach was applied to locate the license plate at the right position. Enhanced geometrical feature topological analysis has been used as the feature extraction technique while support vector machine has been applied as the classification technique. Three separate experiments were performed and compared. From those experiments, analysis based on segmentation and classification errors were constructed. The results showed that the proposed prototype system gives up to 80% of accuracy rate.
Starting Page	78
Ending Page	82
File Size	405579
Page Count	5
File Format	PDF
ISBN	9781424449132
DOI	10.1109/ICEEI.2009.5254811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-05
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Smoothing methods Image processing Licenses geometrical feature topological analysis Vehicles Support vector machines Image segmentation support vector machine Vehicle detection Clustering algorithms license plate recognition Feature extraction Run length smoothing algorithm Image enhancement
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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