Using Fuzzy Logic In Image Matching

Abstract Fuzzy logic is one of the main branches of artificial intelligence as a representative of the theories and techniques used fuzzy groups and groups that are no definite boundaries, and is considered by this logic to describe and represent the human experience as it is through the development of practical solutions to various problems. In this research was to use Fuzzy logic in matching images, as it has been working with images, where the gray level images have been lowered,, and inserting two images in each state, the implementation and then find the proportion of matches and the percentage difference between them, as well as the calculated some statistical variables that helped to find certain characteristics to match the images. Matlab language program (version 6.5) has been made to implement the suggested algorithm, where it considers a high efficiency language.