Automatic license plate detection using vertical edge detection method

Author

Davis, Amritha Mary ; Arunvinodh, C. ; Arathy Menon, N.P.

Author_Institution

Dept. Comput. Sci. & Eng., R. Coll. of Eng. & Technol., Thrissur, India

fYear

2015

Firstpage

1

Lastpage

6

Abstract

This paper proposes a faster mechanism for license plate detection. Usually license plate has more vertical edges compared to horizontal edge. By focusing on this concept an algorithm called VEDA is used here. First convert the color image into gray image. Then for binarizing the image a technique called adaptive thresholding (AT) is used. The noise in the image is removed by using ULEA algorithm. Then the proposed VEDA is used to extract the vertical edges. Then HDD algorithm is used for highlighting the license plate area. Compared to other edge detection mechanisms such as SOBEL and CANNY, VEDA has lesser complexity. Also the computation time is also less for VEDA when compared against SOBEL.

Keywords

edge detection; image colour analysis; image denoising; HDD algorithm; ULEA algorithm; VEDA; adaptive thresholding; color image; gray image; image binarizing; image noise; license plate area; license plate detection; vertical edge detection method; Conferences; Databases; Image edge detection; Licenses; Noise; Public transportation; Vehicles; License plate detection (LPD); adaptive thresholding (AT); candidate region extraction (CRE); highlighting desired details (HDD); plate region selection (PRS); unwanted lines elimination algorithm (ULEA); vertical edge detection algorithm (VEDA);

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-6817-6

Type

conf

DOI

10.1109/ICIIECS.2015.7193073

Filename

7193073