Moving license plate segmentation by region and corner-based approach Online publication date: Thu, 25-Oct-2012
by Abilio Mancuello Petters; José María Lezcano Romero; Horacio A. Legal Ayala; Jacques Facon
International Journal of Innovative Computing and Applications (IJICA), Vol. 4, No. 3/4, 2012
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.
Online publication date: Thu, 25-Oct-2012
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