On the Accuracy of Edge Detectors in Number Plate Extraction
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
Published by Vilnius University and University of Latvia
Abstract
Edge detection as a pre-processing stage is a fundamental and important aspect of the number plate extraction system. This is due to the fact that the identification of a particular vehicle is achievable using the number plate because each number plate is unique to a vehicle. As such, the characters of a number plate system that differ in lines and shapes can be extracted using the principle of edge detection. This paper presents a method of number plate extraction using edge detection technique. Edges in number plates are identified with changes in the intensity of pixel values. Therefore, these edges are identified using a single based pixel or collection of pixel-based approach. The efficiency of these approaches of edge detection algorithms in number plate extraction in both noisy and clean environment are experimented. Experimental results are achieved in MATLAB 2017b using the Pratt Figure of Merit (PFOM) as a performance metric
Description
Keywords
Edge Detection,, Number Plate Extraction,, Pixels
Citation
Sadiq, B. O., Ochia, E. O., Zakariyya, O. S. & Salami, A. F. (2019): On the Accuracy of Edge Detectors in Number Plate Extraction. Baltic Journal of Modern Computing, 7(1); 19-30, Published by Vilnius University and University of Latvia. available online at https://www.bjmc.lu.lv/contents/vol-72019-no-1/