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Automatic Reading of Vehicle Numbers from Number Plate

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IJCA Proceedings on National Conference on Research Issues in Image Analysis and Mining Intelligence
© 2015 by IJCA Journal
NCRIIAMI 2015 - Number 1
Year of Publication: 2015
Authors:
Shruthi S. J
Arpitha K. S
Veena M. N

Shruthi S.j, Arpitha K.s and Veena M.n. Article: Automatic Reading of Vehicle Numbers from Number Plate. IJCA Proceedings on National Conference on Research Issues in Image Analysis and Mining Intelligence NCRIIAMI 2015(1):1-4, June 2015. Full text available. BibTeX

@article{key:article,
	author = {Shruthi S.j and Arpitha K.s and Veena M.n},
	title = {Article: Automatic Reading of Vehicle Numbers from Number Plate},
	journal = {IJCA Proceedings on National Conference on Research Issues in Image Analysis and Mining Intelligence},
	year = {2015},
	volume = {NCRIIAMI 2015},
	number = {1},
	pages = {1-4},
	month = {June},
	note = {Full text available}
}

Abstract

Automatic reading of number plate in vehicles is a character recognition system, which detects the characters from the segmented number plate of the vehicle image. The work presented in this paper is to segment the characters initially from the number plate followed by recognition of the segmented characters. The skew corrected and noise free number plate image is initially segmented into its constituent parts to obtain the characters individually through projection profile technique. Later the segmented individual characters are subjected to recognition using template matching technique. Experimentation is carried out to find the recognition efficiency from the segmented number plate of the vehicle image obtained under different environment conditions.

References

  • Trier, O. D. , Jain, A. K. , et al. , 1996. "Feature extraction methods for character recognition—a survey. Pattern Recognition" 29 (4), 641–661
  • Zhang, P. , Chen, L. H. , 2002. "A novel feature extraction method and hybrid tree classification for handwritten numeral recognition" Pattern Recognition Letters 23, 45–56.
  • Anil, K. , Duin, R. P. W. , Mao, J. , 2000. "Statistical pattern recognition: a review". IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (1), 4–34.
  • H. Kwan and Y. Cai, "A fuzzy neural network and its application to pattern recognition," IEEE Trans. Fuzzy Syst, vol. 2, no. 3, pp. 185–193, Aug. 1994.
  • Qian Gao, Xinnian Wang, Gongfu Xie, "License Plate Recognition Based On Prior Knowledge", IEEE International Conference on Automation and Logistics, pp: 2964 –2968
  • J. Sauvola et al, "Adaptive document image binarization", Pattern Recognition, 33, pp. 225-236, 2000
  • V. Franc and V. Hlavac," License Plate Character Segmentation Using Hidden Markov Chains", vol. 3663. Berlin, Germany: Springer- Verlag, 2005, pp. 385–392.
  • B. R. Lee, K. Park, H. Kang, H. Kim, and C. Kim, "Adaptive Local Binarization Method for Recognition of Vehicle License Plates",vol. 3322, R. Klette and J. Zuni´c, Eds. New York: Springer-Verlag, 2004, pp. 646– 655.
  • S. Nomura, K. Yamanaka, O. Katai, and H. Kawakami, "A new method for degraded color image binarization based on adaptive lightning on grayscale versions," IEICE Trans. Inf. Syst. , vol. E87-D, no. 4, pp. 1012– 1020, Apr. 2004.
  • Xia, H. & Liao, D. , 2011. "The study of license plate character segmentation algorithm based on vertical projection". s. l. s. n. pp. 4583- 4586.
  • T. Vasudev, S. A Angadi, P. Nagabhushan, G. Hemanthkumar,"Recognition of PINCODE Printed in Kannada/English : Script Identification through Texture Analysis and Recognition based on 7- Segment Projection" Journal of Intelligent System Research 1(1) January-June 2007:pp. 69-82
  • V. Franc and V. Hlavac, "License Plate Character Segmentation Using Hidden Markov Chains", vol. 3663. Berlin, Germany: Springer-Verlag, 2005, pp. 385–392.
  • L. R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proc. IEEE, vol. 77, no. 2, pp. 257–286, Feb. 1989.
  • M. Rouhani, "A fuzzy feature extractor neural network and its application in license plate recognition," in Computational Intelligence, Theory and Application. Berlin, Germany: Springer-Verlag, Sep. 9, 2006, pp. 223–228.
  • J. Buckley and Y. Hayashi, "Neural nets for fuzzy systems," Fuzzy Sets Syst. , vol. 71, no. 3, pp. 265–276, May 1995
  • H. Kwan and Y. Cai, "A fuzzy neural network and its application to pattern recognition "IEEE Trans. Fuzzy Syst. , vol. 2, no. 3, pp. 185–193, Aug. 1994.
  • Y. Amit, "A neural network architecture for visual selection," Neural Comput. , vol. 12, no. 5, pp. 1059–1082, May 2000.
  • H. J. Lee, "Neural Network Approach to Identify Model of Vehicles" vol. 3973. New York: Springer- Verlag, 2006, pp. 66–72.
  • M. Raus and L. Kreft, "Reading car license plates by the use of artificial neural networks," in Proc. 38th Midwest Symp. Circuits Syst. , 1995, pp. 538–541.
  • J. Rucklidge, "Efficiently locating objects using the Hausdorff distance," Int. J. Comput. Vis. , vol. 24, no. 3, pp. 251–270, Sep/Oct. 1997
  • E. Osuna, R. Freund, and F. Girosi, "Training support vector machines: An application to face detection," in Proc. IEEE Conf. CVPR, San Juan, Puerto Rico, 1997, pp. 130–136
  • R. Brunelli, "Template matching techniques in computer vision: Theory and practice," Wiley, 2009.
  • Y. Zhang,L. WU,"Fast Document Image Binarization Based on an Improved Adaptive Otsu's Method and Destination Word Accumulation," Journal of Computational Information Systems, vol. 6, pp. 1886-1892, 2011
  • J. Kittler, J. Illingworth, and J. Foglein, "Threshold selection based on a simple image statistic," Comput. Vis. Graph. Image Process. , vol. 30, no. 2, pp. 125–147, May 1985.
  • J. Kittler, H. Mohamad, and P. W. Robert, "On combining classifiers," IEEE Trans. Pattern Anal. Mach. Intell. , vol. 3, no. 20, pp. 226– 239, Mar. 1998.
  • J. T. Tou and R. C. Gonzalez, "Pattern Recognition Principles", Addison-Wesley Publishing Company, Inc. , Reading, Massachusetts, 1974.
  • Shah, S. K. and Sharma, A. , "Design and Implementation of Optical Character Recognition System to Recognize Gujarati Script using Template Matching", Thesis, 1998.
  • R. C. Gonzalez and R. E. Woods, Digital Image Processing, Pearson Education Asia, 2002.
  • Sarfraz, M. , Jameel, M. and Ghazi, S. , "Saudi Arabian License Plate Recognition System," Proc. Inte. Conf. on Geom. Modeling and Graph. , 1985- 7, 2003.