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Recognition of Traffic Signs using Wavelet Transform and Shape Information  

오준택 (영남대학교 컴퓨터공학과)
곽현욱 (영남대학교 전자정보공학부)
김욱현 (영남대학교 전자정보공학부)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.5, 2004 , pp. 125-134 More about this Journal
Abstract
This paper proposes a method for recognition of traffic signs using wavelet transform and shape information from the segmented traffic sign regions. It first segments traffic sign candidate regions by connected component algorithm from binary images, obtained by utilizing the RGB color ratio of each pixel in the image, and then extracts actual traffic sign regions based on their symmetries on X- and Y-axes. In the recognition stage, it utilizes shape information including moment edge correlogram and the number of crossings which concentric circular patterns from region center intersects with frequency information extracted by wavelet transform It finally performs recognition by measuring similarity with the templates in the database. The experimental results show the validity of the proposed method from geometric transformations and environmental factors.
Keywords
traffic sign recognition; wavelet transform; circular pattern; moment; edge correlogram;
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