2.50
Hdl Handle:
http://hdl.handle.net/10547/333822
Title:
License plate localization based on statistical measures of license plate features
Authors:
Boonsim, Noppakun; Prakoonwit, Simant
Abstract:
— License plate localization is considered as the most important part of license plate recognition system. The high accuracy rate of license plate recognition is depended on the ability of license plate detection. This paper presents a novel method for license plate localization bases on license plate features. This proposed method consists of two main processes. First, candidate regions extraction step, Sobel operator is applied to obtain vertical edges and then potential candidate regions are extracted by deploying mathematical morphology operations [5]. Last, license plate verification step, this step employs the standard deviation of license plate features to confirm license plate position. The experimental results show that the proposed method can achieve high quality license plate localization results with high accuracy rate of 98.26 %.
Affiliation:
Department of Computer Science and Technology, University of Bedfordshire
Citation:
Boonsim, N. & Prakoonwit, S. (2014), 'License Plate Localization based on Statistical Measures of License Plate Features', Int. J. on Recent Trends in Engineering and Technology, 10 (1) , 8 .
Publisher:
Association of Computer Electronics and Electrical Engineers
Journal:
International Journal on Recent Trends in Engineering and Technology
Issue Date:
Jan-2014
URI:
http://hdl.handle.net/10547/333822
Additional Links:
http://searchdl.org/public/journals/2014/IJRTET/10/1/505.pdf
Type:
Article
Language:
en
ISSN:
2158-5555
EISSN:
2158-5563
Appears in Collections:
Centre for Computer Graphics and Visualisation (CCGV)

Full metadata record

DC FieldValue Language
dc.contributor.authorBoonsim, Noppakunen
dc.contributor.authorPrakoonwit, Simanten
dc.date.accessioned2014-11-07T11:27:02Z-
dc.date.available2014-11-07T11:27:02Z-
dc.date.issued2014-01-
dc.identifier.citationBoonsim, N. & Prakoonwit, S. (2014), 'License Plate Localization based on Statistical Measures of License Plate Features', Int. J. on Recent Trends in Engineering and Technology, 10 (1) , 8 .en
dc.identifier.issn2158-5555-
dc.identifier.urihttp://hdl.handle.net/10547/333822-
dc.description.abstract— License plate localization is considered as the most important part of license plate recognition system. The high accuracy rate of license plate recognition is depended on the ability of license plate detection. This paper presents a novel method for license plate localization bases on license plate features. This proposed method consists of two main processes. First, candidate regions extraction step, Sobel operator is applied to obtain vertical edges and then potential candidate regions are extracted by deploying mathematical morphology operations [5]. Last, license plate verification step, this step employs the standard deviation of license plate features to confirm license plate position. The experimental results show that the proposed method can achieve high quality license plate localization results with high accuracy rate of 98.26 %.en
dc.language.isoenen
dc.publisherAssociation of Computer Electronics and Electrical Engineersen
dc.relation.urlhttp://searchdl.org/public/journals/2014/IJRTET/10/1/505.pdfen
dc.subjectvehicle license plate localizationen
dc.subjectconnected component analysisen
dc.subjectstandard deviationen
dc.subjectlicense plate featuresen
dc.subjectlicense plate recognitionen
dc.titleLicense plate localization based on statistical measures of license plate featuresen
dc.typeArticleen
dc.identifier.eissn2158-5563-
dc.contributor.departmentDepartment of Computer Science and Technology, University of Bedfordshireen
dc.identifier.journalInternational Journal on Recent Trends in Engineering and Technologyen
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