Moving license plate segmentation by region and corner-based approach

Authors:
Abilio Mancuello Petters;José Marí-a Lezcano Romero;Horacio A. Legal Ayala;Jacques Facon
Affiliations:
FIUNA, Universidad Nacional de Asunción, Campus de la UNA, San Lorenzo, Paraguay.;FIUNA, Universidad Nacional de Asunción, Campus de la UNA, San Lorenzo, Paraguay.;FPUNA, Universidad Nacional de Asunción, Campus de la UNA, San Lorenzo, Paraguay.;PPGIa, Pontifí-cia Universidade Católica do Paraná, Rua Imaculada Conceição, 1155, Curitiba - PR, Brazil
Venue:
International Journal of Innovative Computing and Applications
Year:
2012

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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.