Title: Moving license plate segmentation by region and corner-based approach

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.

DOI: 10.1504/IJICA.2012.050055

International Journal of Innovative Computing and Applications, 2012 Vol.4 No.3/4, pp.149 - 162

Received: 05 May 2011
Accepted: 22 Dec 2011
Published online: 22 Sep 2014 *

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