slugA Review of Automatic License Plate Detection Using Edge Detection Methods

Abstract

Vehicle plate recognition is a valuable image processing system employed for detecting and recognizing license plates thereby categorizing and identifying vehicles. Of late several researchers around the globe have initiated exploring license plate recogni tion using various methods. ALPR - Automatic License Plate Recognition systems have become a central part in various security and traffic management systems across various countries. Automatic toll management, Speed control and access control etc are some a reas where ALPR is found very successful. In this paper we are comparing three popular methods suggested for vehicle license plate detection (LPD algorithms).The key focal point of these schemes is on proposing a non complex yet robus t solution to get to t he bottom of the common issues in license plate recognition. Edge detection methods are popularly used in license plate detection algorithms. In this paper we are presenting a review of mechanisms using Canny operator, Sobel Operator and a comparatively ne w algorithm called VEDA - Vertical Edge detection Algorithm.

Authors and Affiliations

THOMAS K T, VAIJAYANTHIMALA J

Keywords

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  • EP ID EP18010
  • DOI -
  • Views 523
  • Downloads 18

How To Cite

THOMAS K T, VAIJAYANTHIMALA J (2014). slugA Review of Automatic License Plate Detection Using Edge Detection Methods. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(5), -. https://europub.co.uk/articles/-A-18010