Please use this identifier to cite or link to this item: http://ir.unikl.edu.my/jspui/handle/123456789/2478
metadata.conference.dc.title: Road Sign Detection and Recognition
metadata.conference.dc.contributor.*: Nurazlin M.Y
Burie J.C
Loonis P. Boursier P.
Amir A.
metadata.conference.dc.subject: Road sign detection
corner edge detection
metadata.conference.dc.date.issued: 2007
metadata.conference.dc.identifier.citation: Pg:540-549
metadata.conference.dc.relation.ispartofseries: Proceedings of 1st International Conference on Engineering Technology (ICET 2007);2007
metadata.conference.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.
metadata.conference.dc.identifier.uri: http://ir.unikl.edu.my/jspui/handle/123456789/2478
metadata.conference.dc.identifier.issn: 978-983-43833-0-5
metadata.conference.dc.conference.name: Proceedings of 1st International Conference on Engineering Technology (ICET 2007)
metadata.conference.dc.conference.year: 2007
Appears in Collections:Conference Papers

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