Title :
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
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);
Conference_Titel :
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6817-6
DOI :
10.1109/ICIIECS.2015.7193073
