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Open Access   Article

Car License Plate Detection Using Veda
M.Bhargavi 1 , Sajja.Radharani 2
  • Dept of CSE, VFSTR, Guntur, India.
  • Dept of CSE, VFSTR, Guntur, India.
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Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.6 , pp.19-26, Dec-2017


Online published on Dec 31, 2017
Copyright © M.Bhargavi, Sajja.Radharani . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Citation :
IEEE Style Citation: M.Bhargavi, Sajja.Radharani, “Car License Plate Detection Using Veda”, International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.6, pp.19-26, 2017.

MLA Style Citation: M.Bhargavi, Sajja.Radharani "Car License Plate Detection Using Veda." International Journal of Scientific Research in Computer Science and Engineering 5.6 (2017): 19-26.

APA Style Citation: M.Bhargavi, Sajja.Radharani, (2017). Car License Plate Detection Using Veda. International Journal of Scientific Research in Computer Science and Engineering, 5(6), 19-26.
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Abstract :
The VEDA is one of the emerging techniques in the field of Image Processing.Car-license-plate detection (CLPD) comprises of two main steps. The first step comprises of converting a color image into grayscale values, which raises the speed of the CLPD method. Then input to Adaptive threshold (AT) to segment the image and binarised it, then apply unwanted-line elimination algorithm (ULEA) to remove unwanted lines thus enhance the image, then VEDA is applied. The second part comprises of CLPD method which processes low resolution images taken by a web camera. Now the VEDA detects the vertical edges,the desired plate details based on color information are highlighted. Now,performing statistical and logical operations the candidate region will be extracted. Finally,the license plate (LP) is detected.
Key-Words / Index Term :
Car-License Plate Detection(CLPD),Vertical Edge Detection Algorithm(VEDA), Unwanted-Line Elimination Algorithm(ULEA),AdaptiveThresholding(AT),LicensePlate(LP)
References :
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[2] S. Thanongsak and C. Kosin, “The recognition of car license plate for automatic parking system,” in Proc. 5th Int. Symp. Signal Process. Appl., Brisbane, QLD, Australia, 1999, pp. 455–457
[3] H. Bai and C. Liu, “A hybrid license plate extraction method based on edge statistics and morphology,” in Proc. 17th Int. Conf. Pattern Recognit., Cambridge, U.K., 2004, pp. 831–834.
[4] M. Fukumi, Y. Takeuchi, H. Fukumoto, Y. Mitsura, and M. Khalid, “Neural network based threshold determination for Malaysia license plate character recognition,” in Proc. 9th Int. Conf. Mechatron. Technol., 2005, pp. 1–5.
[5] H.-H. P. Wu, H.-H. Chen, R.-J. Wu, and D.-F. Shen, “License plate extraction in low resolution video,” in Proc. IEEE 18th Int. Conf. Pattern Recognit., Hong Kong, 2006, pp. 824–827
[6] J.-W. Hsieh, S.-H. Yu, and Y. S. Chen, “Morphology-based license plate detection from complex scenes,” in Proc. 16th Int. Conf. Pattern Recognit., Quebec City, QC, Canada, 2002, pp. 176–179.
[7].Mei Yu and Yong Deak Kim Ajou ,”An Approach to Korean License Plate Recognition Based on Vertical Edge Matching”,in IEEE Xpl.,2000,pp.2975-2980.
[8]Abbas M. Al-Ghaili, Syamsiah Mashohor, Abdul Rahman Ramli, and Alyani Ismail, “Vertical-Edge-Based Car-License-Plate Detection,” in IEEE Tras. On.Veh.Tec.,Vol 62, 2013, pp. 26–38.
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