Recognition of Traffic Signs and Korean Texts on Traffic Signs Using Japanese Puzzle

Youngsun Sohn; Ilsik Shin

doi:10.20965/jaciii.2008.p0509

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JACIII Vol.12 No.6 pp. 509-515

doi: 10.20965/jaciii.2008.p0509

(2008)

Paper:

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Recognition of Traffic Signs and Korean Texts on Traffic Signs Using Japanese Puzzle

Youngsun Sohn^* and Ilsik Shin^**

^*Dept. of Information & Communications Engineering, Tongmyong University
179 Sinseonno, Nam-gu, Busan, Korea

^**Research Institute of Medium & Small Shipbuilding
1713-4 Songjeong-dong, Kangseo-gu, Busan, Korea

Received:

June 25, 2008

Accepted:

August 28, 2008

Published:

November 20, 2008

Keywords:

recognition system, image processing, Japanese puzzle, traffic safety

Abstract

This paper embodies a recognition system that recognizes the traffic signs and the Korean characters on the traffic signs through reverse application of a Japanese puzzle. The Japanese puzzle used in this system reveals the shape of the intended object when marked onto the mesh grids according to the (x,y) coordinate information provided by the puzzle creator. When the puzzle described above is applied to the color and the shape of the traffic sign after the separating the traffic sign image from the inputted image, the system outputs the traffic sign and its contents as text if the image is recognized as a traffic sign. With the black-and-white image processing and unneeded penciling procedure, the proposed system outperformed the existing systems at a faster processing speed and higher recognition rate.

Cite this article as:

Y. Sohn and I. Shin, “Recognition of Traffic Signs and Korean Texts on Traffic Signs Using Japanese Puzzle,” J. Adv. Comput. Intell. Intell. Inform., Vol.12 No.6, pp. 509-515, 2008.

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References

[1]
J. Y. Jung and C. Y. Jung, “A Study on the Recognition of the Road Traffic Information Board using Hough Transform and Genetic Algorithm,” The Korean Society Of Computer and Information, Vol.4, No.2, pp. 95-104, 1999.
A. Soetedjo, “Traffic Sign Classification Using Ring Partitioned method,” SCIS&ISIS 2004, 2004.
D. Fujita, S. Iwakata, Y. Ajioka, and M. Hagiwara, “Pictogram Extraction Algorithm from Scenery Images by Parallel and Local Processing,” SCIS&ISIS 2004, 2004.
S. Iwakata, Y. Ajioka, and M. Hagiwara, “Thresholding Algorithm for Local and Parallel Processing,” SCIS&ISIS 2004, 2004.
G.-D. Choi, S.-D. Kim, and K.-H. Choi, “Skew Compensation and Text Extraction of The Traffic Sign in Natural Scenes,” Intelligent Transportation System, Vol.3, No.2, pp. 19-22, 2004.
S.-W. Lee and W.-H. Kim, “Traffic Sign Recognition Using Color and Shape Information,” Proc. of the Korea Institute of Signal Processing and Systems Conf., Vol.1, No.2, pp. 141-144, 2000.
J.-T. Oh, H.-W. Kwak, and W.-H. Kim, “Recognition of Traffic Signs using Wavelet Transform and Shape Information,” The Institute of Electronics Engineers of Korea, Vol.41, No.5, pp. 125-134, 2004.
K.-H. Nam and C.-S. Bae, “An Vision System for Traffic sign Recog,” The Korea Institute of Maritime Information Communication Sciences, Vol.8, No.2, pp. 471-476, 2004.
S. Salcedo-Sanz, E. G. Ortiz-Garcia, A. M. Perez-Bellido, A. Portilla-Figueras, and X. Yao, “Solving Japanese Puzzles with Heuristics,” Proc. of the 2007 IEEE Symposium on Computational Intelligence and Games (CIG 2007), pp. 224-231, 2007.
D.-H. Jang, “Embodiment of digital image processing,” PC Advance, 2001.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1]
J. Y. Jung and C. Y. Jung, “A Study on the Recognition of the Road Traffic Information Board using Hough Transform and Genetic Algorithm,” The Korean Society Of Computer and Information, Vol.4, No.2, pp. 95-104, 1999.
A. Soetedjo, “Traffic Sign Classification Using Ring Partitioned method,” SCIS&ISIS 2004, 2004.
D. Fujita, S. Iwakata, Y. Ajioka, and M. Hagiwara, “Pictogram Extraction Algorithm from Scenery Images by Parallel and Local Processing,” SCIS&ISIS 2004, 2004.
S. Iwakata, Y. Ajioka, and M. Hagiwara, “Thresholding Algorithm for Local and Parallel Processing,” SCIS&ISIS 2004, 2004.
G.-D. Choi, S.-D. Kim, and K.-H. Choi, “Skew Compensation and Text Extraction of The Traffic Sign in Natural Scenes,” Intelligent Transportation System, Vol.3, No.2, pp. 19-22, 2004.
S.-W. Lee and W.-H. Kim, “Traffic Sign Recognition Using Color and Shape Information,” Proc. of the Korea Institute of Signal Processing and Systems Conf., Vol.1, No.2, pp. 141-144, 2000.
J.-T. Oh, H.-W. Kwak, and W.-H. Kim, “Recognition of Traffic Signs using Wavelet Transform and Shape Information,” The Institute of Electronics Engineers of Korea, Vol.41, No.5, pp. 125-134, 2004.
K.-H. Nam and C.-S. Bae, “An Vision System for Traffic sign Recog,” The Korea Institute of Maritime Information Communication Sciences, Vol.8, No.2, pp. 471-476, 2004.
S. Salcedo-Sanz, E. G. Ortiz-Garcia, A. M. Perez-Bellido, A. Portilla-Figueras, and X. Yao, “Solving Japanese Puzzles with Heuristics,” Proc. of the 2007 IEEE Symposium on Computational Intelligence and Games (CIG 2007), pp. 224-231, 2007.
D.-H. Jang, “Embodiment of digital image processing,” PC Advance, 2001.

Recognition of Traffic Signs and Korean Texts on Traffic Signs Using Japanese Puzzle

Youngsun Sohn* and Ilsik Shin**

Youngsun Sohn^* and Ilsik Shin^**