NDLI: Towards Annotation Free License Plate Recognition

Content Provider	IEEE Xplore Digital Library
Author	Bulan, O. Kozitsky, V. Burry, A.
Copyright Year	2015
Description	Author affiliation: Palo Alto Res. Center, Webster, NY, USA (Bulan, O.; Kozitsky, V.; Burry, A.)
Abstract	Automated license plate recognition (ALPR) is a key capability in transportation imaging applications including tolling, enforcement, and parking, among others. An important module in ALPR systems is image classification that includes training classifiers for character recognition, commonly employed after detecting a license plate in a license plate image and segmenting out the characters from the localized plate region. A classifier is trained for each character in a one-vs-all fashion using segmented character samples collected from the actual camera capture site, where the collected samples are manually labeled by an operator. The substantial time and effort required for manual annotation of training images can result in excessive operational cost and overhead. In this paper, we propose a new method to minimize manual annotation required for training classifiers in an ALPR system. Instead of collecting training images from the actual camera capture site, our method utilizes either artificially generated synthetic license plate images or character samples acquired by trained ALPR systems already operating in other sites. The performance gap due to differences between training and target domain distributions is minimized using an unsupervised domain adaptation. The efficiency of the proposed method is shown on artificially generated and actual character samples collected from CA and NY.
Starting Page	1495
Ending Page	1499
File Size	339078
Page Count	5
File Format	PDF
ISSN	21530017
e-ISBN	9781467365963
DOI	10.1109/ITSC.2015.244
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-15
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Licenses Training Optical character recognition software Dictionaries Cameras Image segmentation Distortion domain adaptation license plate recognition synthetic plate generation
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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