Proceedings of the Annual Conference of the Institute of Image Electronics Engineers of Japan
Online ISSN : 2436-4398
Print ISSN : 2436-4371
Proceedings of the 42nd Annual Conference of the Institute of Image Electronics Engineers of Japan 2014
Session ID : S6-3
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Traffic sign recognition by circular deformation and distorted template matching
*Ryoki TAKADAShota ORIHASHIJiro KATTO
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Abstract
Traffic sign recognition contributes the safety of driver and people. There is a problem that the images taken by vehicle camera are blurred and distorted. In this paper, we propose the method that transforms to perfect circle from ellipse and does template matching with distorted template. As a result, we extracted 90.83% circular traffic sign and recognized 60.00%.
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© 2014 The Institute of Image Electronics Engineers of Japan
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