NDLI: License plate recognition system

Content Provider	IEEE Xplore Digital Library
Author	Chuin-Mu Wang Jian-Hong Liu
Copyright Year	2015
Description	Author affiliation: Comput. Sci. & Inf. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan (Chuin-Mu Wang; Jian-Hong Liu)
Abstract	This paper proposes a license plate recognition system, where the neural network concept to be applied. The identification of license plate is on the basis of character. In order to make the system quickly and accurately the proposed system has designed a corresponding workflow and complete through the PC. When using license plate recognition systems, photographic lens will return successive still images. The system includes a main algorithm before image processing, detection and capture license plate location, license plate cutting element, license plate element feature extraction, as well as license plate recognition and other components several parts. When looking at the license plate, count the number of color changes in the image of each horizontal line. Through the qualifying threshold selected area can discover out the license plate placement. The initial size of the region of localization results will serve as the basis to judge detect abnormal number plates, conditional iteration binarization, modified, and research. Whereby the plate to achieve better positions, but also enhance the accuracy of the cutting plate element. In the plate element cutting part, we use comparative characteristics of the target element and background to detect the color change, to identify elements borders and cutting.
Starting Page	1708
Ending Page	1710
File Size	470976
Page Count	3
File Format	PDF
e-ISBN	9781467376822
DOI	10.1109/FSKD.2015.7382203
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Convolution convolutional neural network Licenses Feature extraction license plates character recognition Biological neural networks Vehicles
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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