NUMBER PLATE RECOGNITION FOR NIGERIAN VEHICLES
Journal Title: Academic Research International - Year 2013, Vol 4, Issue 3
Abstract
This paper presents Automatic Number Plate extraction, character segmentation and recognition for Nigerian vehicles. In Nigeria, number plate models are not followed strictly. Characters on plate are in different in terms of States within Nigeria, as well as local government in each state. Due to variations in the representation of number plates, vehicle number plate extraction, character segmentation and recognition are crucial. We present the number plate extraction, character segmentation and recognition work, with English characters. Number plate extraction is done using Sobel filter, morphological operations and connected component analysis. Character segmentation is done by using connected component and vertical projection analysis. Character recognition is carried out using Support Vector machine (SVM). The segmentation accuracy is 80% and recognition rate is 79.84 %.
Authors and Affiliations
Najeem Owamoyo, A. Alaba Fadele, Abimbola Abudu
Keywords
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