NDLI: A smart hybrid license plate recognition system based on image processing using neural network and image correlation

Content Provider	IEEE Xplore Digital Library
Author	Yilmaz, K.
Copyright Year	2011
Description	Author affiliation: Computer Engineering Department, EGE UNIVERSITY, Izmir, 35100 Turkey (Yilmaz, K.)
Abstract	In this paper, I propose a novel hybrid approach of license plate recognition system based on Neural Network and Image Correlation for classification of characters. I used image processing for segmentation. The purpose of this study is to develop a more reliable hybrid system than individual one. The license plate number of the vehicles taken from an acceptable distance from it up to 10m. This hybrid system that is composed of transformation to gray level, histogram equalization, thresholding and some novel algorithms in finding the character of license plate number. These novel algorithms were successively integrated in such a way as to complement with morphological image processing methods. However, Image correlation and neural network with LVQ (Learning Vector Quantization) learning methods were used for template matching extracted from license plate number. The novel algorithm makes powerful increase on success rate of template matching. It extracts features (area, centroid i.e.) of object and then uses them to eliminate noise and extract characters. Experimental results show the hybrid system is quite successful in recognizing private Turkish license plates.
Starting Page	148
Ending Page	153
File Size	1662399
Page Count	6
File Format	PDF
ISBN	9781612849195
e-ISBN	9781612849225
DOI	10.1109/INISTA.2011.5946087
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-15
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Image recognition Image processing Artificial neural networks Licenses Template Matching Image Correlation License Plate Recognition System Image segmentation Hybrid System Neural Network Feature extraction Pixel
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