Welcome to the InfoSci Platform
Edge Features and Geometrical Properties Based Approach for Vehicle License Plate Detection and Localization

Edge Features and Geometrical Properties Based Approach for Vehicle License Plate Detection and Localization

Hinde Anoual, Sanaa El Fkihi, Abdelilah Jilbab, Driss Aboutajdine
Copyright: © 2012 |Volume: 4 |Issue: 2 |Pages: 13
ISSN: 1937-9412|EISSN: 1937-9404|EISBN13: 9781466613508|DOI: 10.4018/jmcmc.2012040105
Cite Article Cite Article

MLA

Anoual, Hinde, et al. "Edge Features and Geometrical Properties Based Approach for Vehicle License Plate Detection and Localization." IJMCMC vol.4, no.2 2012: pp.63-75. http://doi.org/10.4018/jmcmc.2012040105

APA

Anoual, H., El Fkihi, S., Jilbab, A., & Aboutajdine, D. (2012). Edge Features and Geometrical Properties Based Approach for Vehicle License Plate Detection and Localization. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 4(2), 63-75. http://doi.org/10.4018/jmcmc.2012040105

Chicago

Anoual, Hinde, et al. "Edge Features and Geometrical Properties Based Approach for Vehicle License Plate Detection and Localization," International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 4, no.2: 63-75. http://doi.org/10.4018/jmcmc.2012040105

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Frequently, a need exists to identify vehicle license plates (VLP) for security. The extracted information from VLP is used for enforcement, access-control, and flow management, e.g., to keep a time record for automatic payment calculations or fight crime, making license plate detection crucial and inevitable in the VLP recognition system. This paper presents a robust method to detect and localize license plates in images. Specifically, the authors examine Moroccans’ VLPs. The proposed approach is based on edge features and characteristics of license plate characters. Various images including Moroccans’ VLPs were used to evaluate the proposed method. The experimental results show that the authors’ system can efficiently detect and localize the VLP in the images. Indeed, the recall/precision curve proves that 95% precision rate is obtained for recall rate value equals to 81%. In addition, the standard measure of quality is equal to 87.44%.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.