  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
