Image Matching with Edge Detection

Image matching, which measures the degree of similarity between two image sets that are superposed upon one another, plays a key role in many areas such as pattern recognition, image analysis and computer vision. Matching two images requires the images to be matched go through a number of operations before the similarity is determined. This paper presents a method in which the edges of the given images are matched with the new entries using different algorithms and it determines its validity with the available pictures. In many areas of business, these systems are entrusted to verify identities of personnel before allowing access to restricted information or facilities. In the area of criminal investigation, these same systems are entrusted to find, match and identify criminals. In order to enhance important features accurately in the image matching, methods in edge detection are applied.