Moving license plate segmentation by region and corner-based approach. (1st January 2012)

• Record Type: Journal Article
• Authors: Petters, Abilio Mancuello; Romero, José María Lezcano; Ayala, Horacio A. Legal; Facon, Jacques
• Is Part Of: International journal of innovative computing and applications. Volume 4:Number 3/4(2012)
• Page Start: 149
• Page End: 162
• Publication Date: 2012-01-01
• Subjects: image processing -- license plate segmentation -- candidate qualification -- corner matching; Evolutionary computation -- Periodicals; Neural networks (Computer science) -- Periodicals; Genetic programming (Computer science) -- Periodicals; Biologically-inspired computing -- Periodicals; Swarm intelligence -- Periodicals; Quantum computers -- Periodicals; 006.3
• Languages: English
• ISSNs: 1751-648X

Abstract

A novel approach for license plate detection of vehicles in movement into dynamic scenes is proposed in this work. By mixing component-based and corner-based algorithms, this approach combines characteristics of the previous ones to improve success rate and robustness. The approach was tested on a database of 500 images taken during the day. A digital camera was mounted in front of a car and photographs of moving vehicles were captured in traffic. Success rates of 91.8%, 90.8% and 95.6% were accomplished for the three approaches despite diverse illumination and the physical conditions of the plates.