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An edge-based macao license plate recognition system
Pun C.-M.; Ho W.-Y.
2012-03-12
Source PublicationInternational Journal of Computational Intelligence Systems
ISSN18756883 18756891
Volume4Issue:2Pages:244-254
Abstract

This paper presents a system to recognize Macao license plates. Sobel edge detector is employed to extract the vertical edges, and an edge composition algorithm is proposed to combine the edges into candidate plate regions. They are further examined on the existence of the character “M” by a verification algorithm. A row separation algorithm is also proposed to cater both one–row and two–row types of plates. Projection analysis and template matching methods are exploited to segment and recognize the characters. Various pre and post processing steps are proposed other than traditional implementation so as to improve the recognition accuracy. This work achieves a high recognition rate of 95%. © 2011 Taylor & Francis Group, LLC.

KeywordEdge Detection License Plate Recognition Morphology Projection Template Matching
DOI10.1080/18756891.2011.9727780
URLView the original
Indexed BySCIE
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000290755800012
PublisherATLANTIS PRESS
Scopus ID2-s2.0-79955972228
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorPun C.-M.
AffiliationUniversidade de Macau
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Pun C.-M.,Ho W.-Y.. An edge-based macao license plate recognition system[J]. International Journal of Computational Intelligence Systems, 2012, 4(2), 244-254.
APA Pun C.-M.., & Ho W.-Y. (2012). An edge-based macao license plate recognition system. International Journal of Computational Intelligence Systems, 4(2), 244-254.
MLA Pun C.-M.,et al."An edge-based macao license plate recognition system".International Journal of Computational Intelligence Systems 4.2(2012):244-254.
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