Car License Plate Detection Using Veda

Authors

  • M. Bhargavi Dept of CSE, VFSTR, Guntur, India
  • Sajja Radharani Dept of CSE, VFSTR, Guntur, India

Keywords:

Car-License Plate Detection(CLPD), Vertical Edge Detection Algorithm(VEDA), Unwanted-Line Elimination Algorithm(ULEA), AdaptiveThresholding(AT), LicensePlate(LP)

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.

 

References

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Published

2017-12-31

How to Cite

[1]
M. Bhargavi and S. Radharani, “Car License Plate Detection Using Veda”, Int. J. Sci. Res. Comp. Sci. Eng., vol. 5, no. 6, pp. 19–26, Dec. 2017.

Issue

Section

Research Article

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