Scale Invariant Feature Transform Based Method for Objects Matching

During the last decades, object recognition reported a widespread area of researchers. The reason for that is a numerous mixture of applications, where each application has its specific requirements and constraints. This paper uses the Scale Invariant Feature Transform (SIFT) for representation and extraction features. After that, a similarity algorithm is used for determining the matching object exactly. According to the results, the classifier succeeds in getting the accuracy of 91%. The results are acceptable.