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http://dx.doi.org/10.5302/J.ICROS.2009.15.11.1088

Geometrical Reorientation of Distorted Road Sign using Projection Transformation for Road Sign Recognition  

Lim, Hee-Chul (울산대학교 자동차선박기술대학원)
Deb, Kaushik (울산대학교 전기전자정보시스템공학부)
Jo, Kang-Hyun (울산대학교 자동차선박기술대학원)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.15, no.11, 2009 , pp. 1088-1095 More about this Journal
Abstract
In this paper, we describe the reorientation method of distorted road sign by using projection transformation for improving recognition rate of road sign. RSR (Road Sign Recognition) is one of the most important topics for implementing driver assistance in intelligent transportation systems using pattern recognition and vision technology. The RS (Road Sign) includes direction of road or place name, and intersection for obtaining the road information. We acquire input images from mounted camera on vehicle. However, the road signs are often appeared with rotation, skew, and distortion by perspective camera. In order to obtain the correct road sign overcoming these problems, projection transformation is used to transform from 4 points of image coordinate to 4 points of world coordinate. The 4 vertices points are obtained using the trajectory as the distance from the mass center to the boundary of the object. Then, the candidate areas of road sign are transformed from distorted image by using homography transformation matrix. Internal information of reoriented road signs is segmented with arrow and the corresponding indicated place name. Arrow area is the largest labeled one. Also, the number of group of place names equals to that of arrow heads. Characters of the road sign are segmented by using vertical and horizontal histograms, and each character is recognized by using SAD (Sum of Absolute Difference). From the experiments, the proposed method has shown the higher recognition results than the image without reorientation.
Keywords
road sign; pattern recognition; character recognition; intelligence transportation systems; vehicle; projection transformation; homography; reorientation;
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1 W Wu, X. Chen, and J. Yang, 'Detection of text on road signs from video,' IEEE Transactions on Intelligent Transportation Systems, vol. 6, no. 4, pp. 478-390, 2005   DOI   ScienceOn
2 A. Vavilin and K. H. Jo 'Road guidance sign recognition in urban areas by structure,' Strategic Technology, The 1st International Forum, pp. 293-296, 2007
3 J. Miura, T. Kanda, and Y. Shirai, 'An active vision system for real-time traffic sign recognition,' International Conference on Intelligent Transportation Systems, pp. 52-57, 2000
4 임희철, 바빌린, 조강현, '효율적인 도로표지판 인식 방법.' 제어.자동화.시스템심포지엄(CASS 2008), pp. 277-280,2008
5 R. O. Duda and P. E. Hart, 'Use of the hough transformation to detect lines and curves in pictures,' Published in the Comm. ACM, vol. 15, no. 1, pp. 11-15, 1972   DOI
6 A. Vavilin, 'Automatic detection and recognition of road signs in cluttered environment using geometrical analysis of structure,' University ofUlsan, 2006
7 S. Kopf, T. Haenselmann, and W. Effelsberg, 'Robust character recognition in low-resolution images and videos,' Technical Report / Department for Mathematics and Computer Science, University of Mannheim, 2005
8 건설교통부, '도로표지 관련 규정집,' 국토해양부 행정 및 법령, http://www.mltm.go.kr/. 2006
9 J. Kim, S. Lee, Y. Kwon, and J. H. Kim, 'Stroke verification with gray-level image for hangul video text recognition,' The 18th International Conference on Pattern Recognition(JCPR'06), 2006
10 V. Ganapathy and Charles C. H. Lean, 'Optical character recognition program for images of printed text using a neural Network,' IEEE International Conforence on Industrial Technology, pp. 1171-1176,2006
11 G. Y. Jiang, T. Y. Choi, and S. K. Hong, 'Vision-based roadway sign recognition,' Transaction on Control, Automation, and Systems Engineering, vol. 2, no. 1,2000
12 A. Vavilin and K. H. Jo, 'Automatic detection and recognition of traffic signs using geometric structure analysis,' Proceedings of the SICE-ICCAS International Joint Cotiference, vol. 3, pp. 123-123,2006
13 M.-B. Satumino, L.-A. SeIgio, G-1. Pedro, G-M. Hilario, and L.-F. Francisco, ' Road-sign detection and recognition based on support vector machines,' IEEE Transactions on Intelligent Transportation Systems, vol. 8, no. 2, pp. 264-278, 2007   DOI   ScienceOn
14 P. G Jime'nez, S. M. Basco'n, H. G Moreno, S. L. Arroyo, and F. L. Ferreras, 'Traffic sign shape classification and localization based on the nonnalized FFT of the signature of blobs and 2D homographies,' Signal Processing 88, pp. 2943-2955, 2008   DOI   ScienceOn
15 H. Ishida, T. Takahashi, I. Ide, Y. Mekada, and H. Murase, 'Identification of degraded traffic sign symbols by a generative learning method,' Proceedings of the 18th International Conforence on Pattern Recognition(lCPR'06), 2006
16 J. H. Lee and K. H. Jo, 'Traffic sign recognition by division of charncters and symbols,' Science and Technology Proceedings, The 7th Korea Russia International Symposium, vol. 2, pp. 324-328,2003