A Novel Algorithm to Extract Connected Components in a Binary Image of Vehicle License Plates

This paper presents a simple and a novel sequential algorithm to find connected components in a binary image of vehicle license plate. Many classical algorithms have used the approach of equivalence classes and labels to find connected components that are both fast and efficient. Our algorithm extracts the connected components with 100% accuracy using “tree” data structure. The extraction is accomplished by forward scanning only.