Efficient Implementation of VEDA for Highlighting Car License Plate Details

Author

Al-Ghaili, Abbas Mohd ; Mashohor, Syamsiah ; Ismail, Alyani ; Ramli, Abdul Rahman

Author_Institution

Dept. of Comput. & Commun. Syst., UPM, Serdang, Malaysia

fYear

2009

fDate

3-5 April 2009

Firstpage

460

Lastpage

464

Abstract

Vertical edge detection is a very important task for image processing-based applications. One of the most common techniques which depends on this task is car license plate detection system. In this work, two contributions are presented and discussed. The first one, a vertical edge detection algorithm (VEDA) is proposed in order to extract vertical edges. The second one, an implementation of VEDA is presented in order to confirm that VEDA is robust for highlighting car license plates efficiently. The results show that VEDA is faster than Sobel and its time complexity is less. So, VEDA can be used with real-time applications. VEDA shows that it could detect vertical license plate details efficiently.

Keywords

automobiles; edge detection; feature extraction; traffic engineering computing; VEDA; car license plate detection system; image processing; real-time application; time complexity; vertical edge detection algorithm; vertical edge extraction; Application software; Character recognition; Data mining; Detectors; Displays; Feature extraction; Image edge detection; Licenses; Robustness; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Computer and Communication, 2009. ICFCC 2009. International Conference on

Conference_Location

Kuala Lumpar

Print_ISBN

978-0-7695-3591-3

Type

conf

DOI

10.1109/ICFCC.2009.35

Filename

5189825