Authors: Abilio Mancuello Petters; José María Lezcano Romero; Horacio A. Legal Ayala; Jacques Facon
Addresses: 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, Pontifícia Universidade Católica do Paraná, Rua Imaculada Conceição, 1155, Curitiba – PR, Brazil
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.
Keywords: image processing; license plate segmentation; candidate qualification; corner matching; license plate detection; license plate recognition; image recognition; moving vehicles.
International Journal of Innovative Computing and Applications, 2012 Vol.4 No.3/4, pp.149 - 162
Available online: 25 Oct 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article