The Journal of Korea Institute of Information, Electronics, and Communication Technology (한국정보전자통신기술학회논문지)

Korea Information Electronic Communication Technology (한국정보전자통신기술학회)
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Digit Recognition for Vehicle License Plate Based on Opened Enclosure

열림방향을 이용한 자동차번호판 숫자인식

  • Received : 2015.11.23
  • Accepted : 2015.12.10
  • Published : 2015.12.30
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Abstract

In this paper, we propose a new digit recognition method based on opened enclosure. In the proposed method, each digit is divided into two parts, an upper part and a lower part, which are based on a cutting line that is modified depending on the number of intersection points. In the simulation, the performance evaluation through the data acquisition and application of the proposed algorithm was carried out and the result was presented.

본 논문에서는 열림부분에 기반을 둔 자동차 번호판의 숫자인식 기법을 제안한다. 제안된 인식기법에서 숫자를 상부와 하부로 나누고, 각각에 대해 열림부분을 판정하여 숫자를 인식한다. 제안된 기법에서, 상부와 하부의 분할은 정해진 절단선을 바탕으로 하며, 교점의 개수에 따라 절단선의 위치가 조절된다. 제안된 방법은 템플릿 매칭 방법에 비해 잡음이나 회전 등의 영향을 받지 않으며 강건하다. 모의실험에서 제안된 기법의 성능을 평가하기 위해 번호판에 사용되는 숫자들에 대해 처리를 하고, 그 결과를 제시하였다. 제안된 기법은 번호판의 숫자인식에서 매우 높은 인식률을 보인다.

Keywords

References

  1. P. Gader et al, "Recognition of handwritten digits using template and model matching", Pattern Recognition, Volume 24, Issue 5, pp. 421-431,1991. https://doi.org/10.1016/0031-3203(91)90055-A
  2. C. J. Shang and K. Brown, "Principal Feature-Based Texture classification with Neural Networks," Pattern Recognition, Vol. 27, No. 5, pp. 675-687, 1994. https://doi.org/10.1016/0031-3203(94)90046-9
  3. B. Jeong, H. Kang, "Recognition of numeric characters in license plate based on independent component analysis", Journal of The Institute of Electronics Eng. of Korea, vol. 46-SP, no.2, 2009.
  4. S. Lee, S. Choi, S. Lee, and Y. Kim, "License plate recognition using improved IAFC fuzzy neural network", Journal of intelligence and information systems, vol. 19, no. 1, pp. 6-12, 2010.
  5. Z. Zhang, G. Chen, J. Li, and N. Ju, "The Research on Digit Recognition Algorithm for Automatic Meter Reading System", Proceedings of the 8th World Congress on Intelligent Control and Automation, 2010, Jinan, China, pp. 5399-5403.
  6. Robert Hecht-Nielsen, "Theory of the backpropagation Neural Network", Joint Conference on Neural Network", vol. 1, pp. 593-605, 1989.
  7. M. Tico, E. Immonen, A. Ramo, P. Kuosmanen, and J. Saarinen, "Fingerprint Recognition Using Wavelet Features", Proceedings of the IEEE International Symposium on Circuits and Systems, Vol. 2, pp. 21-24, 2001.
  8. Y. Shon, "Printed numeric character recognition using Fractal dimension and modified Henon attractor", Journal of Korea Multimedia Society, vol. 6, no. 1, pp. 89-96, 2003.
  9. D. Kim, and J. Kang, "Extraction of Car number plate based on projection", Journal of The Korea Society of Computer and Information, vol. 12, no. 6, pp. 261-268, 2007.
  10. M. Kang, J. Kim, and K. Kim, "A car license plate recognition using colors information morphological characteristic and neural network", The Korea Institute of Electronic Communication Sciences (Conference) 2(2), pp. 238-241, 2008년.