License plate localization using vertical edge map and hough transform based technique

5Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Automatic License Plate Recognition (ALPR) system is the growing need by government authorities of different developing countries like India for traffic monitoring and control. The purpose of ALPR system is to track the vehicles violating the speed limit or violating the traffic signal at a road crossing. License plate localization is one of the key modules of any ALPR system. The objective of the current work is to localize the license plate of the vehicle from the vertical edge map of the image using statistical distribution of the vertical edges. Hough transform is then used to tune potential area to its actual dimension. In this work, real time vehicle images are captured from a road-side surveillance camera automatically throughout day and night in an unconstrained outdoor environment. The performance of the technique is tested and it provides 91.23% accuracy when compared with the ground truth data. © 2012 Springer-Verlag GmbH Berlin Heidelberg.

Cite

CITATION STYLE

APA

Saha, S., Basu, S., & Nasipuri, M. (2012). License plate localization using vertical edge map and hough transform based technique. In Advances in Intelligent and Soft Computing (Vol. 132 AISC, pp. 649–656). Springer Verlag. https://doi.org/10.1007/978-3-642-27443-5_75

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free