Traffic Sign Recognition Using Color Information and Error Back Propagation Algorithm 


Vol. 14,  No. 7, pp. 809-818, Dec.  2007
10.3745/KIPSTD.2007.14.7.809


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  Abstract

In this thesis, the color information is used to extract the traffic sign territory, and for recognizing the extracted image, it proposes the traffic sign recognition system that applies the error back propagation algorithm. The proposed method analyzes the color of traffic sign to extract and recognize the possible territory of traffic sign. The method of extracting the possible territory is to use the characteristics of YUV, YIQ, and CMYK color space from the RGB color space. Morphology uses the geometric characteristics of traffic sign to make the image segmentation. The recognition of traffic signs can be recognized by using the error back propagation algorithm. As a result of the experiment, the proposed system has proven its outstanding capability in extraction and recognition of candidate territory without the influence of differences in lighting and input image in various sizes.

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[IEEE Style]

G. W. Bang, D. W. Kang, W. H. Cho, "Traffic Sign Recognition Using Color Information and Error Back Propagation Algorithm," The KIPS Transactions:PartD, vol. 14, no. 7, pp. 809-818, 2007. DOI: 10.3745/KIPSTD.2007.14.7.809.

[ACM Style]

Gul Won Bang, Dea Wook Kang, and Wan Hyun Cho. 2007. Traffic Sign Recognition Using Color Information and Error Back Propagation Algorithm. The KIPS Transactions:PartD, 14, 7, (2007), 809-818. DOI: 10.3745/KIPSTD.2007.14.7.809.

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