Robust Template Matching Using Orthogonal Legendre Moment Invariants

Problem statement: Template matching is a famous methodology that has a wide range of applications in image and signal processing. For a template and input image, template matching methodology finds the partial input image that is m ost closely matches the template image in terms of specific criterion such as the Euclidean distance o r cross-correlation. Approach: In this study, a fast and robust template matching algorithm was proposed where exact Legendre moment invariants were used where a cross-correlation was employed to dete ct the most similar partial input image regardless of location, width and height. Results: Experimental results showed that template matching by using exact Legendre moment invariants achieve higher degree of robustness. Conclusion: Template matching by using exact Legendre moment invariants is very efficient where the high accuracy ensure the matching process and avoids any mismatching.