Automatic classify method of traffic sign

CHU Xiu-min; YAN Xin-ping; MAO Zhe

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CHU Xiu-min, YAN Xin-ping, MAO Zhe. Automatic classify method of traffic sign[J]. Journal of Traffic and Transportation Engineering, 2006, 6(4): 91-95.

Citation:

CHU Xiu-min, YAN Xin-ping, MAO Zhe. Automatic classify method of traffic sign[J]. Journal of Traffic and Transportation Engineering, 2006, 6(4): 91-95.

CHU Xiu-min, YAN Xin-ping, MAO Zhe. Automatic classify method of traffic sign[J]. Journal of Traffic and Transportation Engineering, 2006, 6(4): 91-95.

Citation:

CHU Xiu-min, YAN Xin-ping, MAO Zhe. Automatic classify method of traffic sign[J]. Journal of Traffic and Transportation Engineering, 2006, 6(4): 91-95.

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Automatic classify method of traffic sign

ITS Center, Wuhan University of Technology, Wuhan 430063, Hubei, China

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Author Bio:
Chu Xiu-min(1969-), male, PhD, associate professor, 86-27-50853212, chuxm@mail.whut.edu.cn
Received Date: 2006-07-16
Publish Date: 2006-12-25

Abstract

Abstract

To achieve automatic classifying traffic sign, a sign classifying method was put forward, sign HSI color model was obtained from sign RGB model, the edge of traffic sign image was detected by Sobel operator, sign region was filled by line-scanning method to gain the binary image of traffic sign, the invariant-moments and form factors of traffic sign image were extracted as image feathers, the shape of traffic sign was recognized by BP nerve net classifier, a euclid-distance classifier was designed to recognize the background color of traffic sign by H and I values.Automatic classifying result shows that the shape and color of traffic sign can be recognised accurately by the method.
- traffic safety,
- traffic signs,
- driving safety assistance,
- image recognition

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References(10)

References

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