Detection and recognition of road sign

Panich S.

Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/14557

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DC Field	Value	Language
dc.contributor.author	Panich S.
dc.date.accessioned	2021-04-05T03:35:35Z	-
dc.date.available	2021-04-05T03:35:35Z	-
dc.date.issued	2011
dc.identifier.issn	9720871
dc.identifier.other	2-s2.0-79954575351
dc.identifier.uri	https://ir.swu.ac.th/jspui/handle/123456789/14557	-
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-79954575351&partnerID=40&md5=7169d3c34a36c66a88265a2fbf544e6f
dc.description.abstract	In general pattern recognition, road sign is researched and developed in recent years. The significant problems are the detection and recognition of the road sign. The overcome of these problems is the requirement of automatic road sign recognition in real time. This paper introduces the method of extraction and recognition for road sign. The algorithm starts with the capture of road sign by camera. After the shape of road sign is detected, the sign will be extracted. Lastly, the sign will be recognized by template matching algorithm. The results show a good performance. With these results, we can easily extract the sign based on its center, size and shape. Performance of shape recognition algorithm is tested with road signs. The system is tested. In this study, a road sign recognition system is developed. The algorithm of both the modules is developed by Visual C++ language. © 2011 Pushpa Publishing House.
dc.title	Detection and recognition of road sign
dc.type	Article
dc.rights.holder	Scopus
dc.identifier.bibliograpycitation	Far East Journal of Mathematical Sciences. Vol 50, No.1 (2011), p.67-72
Appears in Collections:	Scopus 1983-2021

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