DSpace Repository

Road Sign Detection and Recognition

Show simple item record

dc.contributor.author Nurazlin M.Y
dc.contributor.author Burie J.C
dc.contributor.author Loonis P. Boursier P.
dc.contributor.author Amir A.
dc.date.accessioned 2013-07-04T05:12:03Z
dc.date.available 2013-07-04T05:12:03Z
dc.date.issued 2007
dc.identifier.citation Pg:540-549 en_US
dc.identifier.issn 978-983-43833-0-5
dc.identifier.uri http://ir.unikl.edu.my/jspui/handle/123456789/2478
dc.description.abstract Objective of this paper is to have a clear and detailed understanding of building a road sign detection and recognition system. The framework of the research work is study thoroughly the previous work and developed system to extract, detect and recognise road signs. All the available methods that are had and currently in used are summarize in the form of extraction and acknowledgment of Road Sign Detection and Recognition: State of the Art Survey. The qualitative and quantitative methodology used are based upon parameters such as: input data type, calibration requirement, colour segmentation methods (pre-processing), colour representation system, computation time, classification methods and percentage of recognition. Extraction procedure had been developed to localise road signs in the image and detect shapes such as circle, triangle, rectangle, and square. en_US
dc.relation.ispartofseries Proceedings of 1st International Conference on Engineering Technology (ICET 2007);2007
dc.subject Road sign detection en_US
dc.subject corner edge detection en_US
dc.title Road Sign Detection and Recognition en_US
dc.conference.name Proceedings of 1st International Conference on Engineering Technology (ICET 2007) en_US
dc.conference.year 2007 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account