Abstract:In this paper, a novel method of image recognition and matching based on fractional order differential and scale invariant feature transform (SIFT) was proposed. In this method, the details of the image were improved by using the fractional order differential method firstly, then the SIFT algorithm was used to extract and match the feature points of the image, and under the above method, the accuracy of image recognition was improved. An experimental study on Lena image was carried out in this paper, the experimental results show that the accuracy of image matching can be improved to 94.59% with the proposed method based on fractional order(0.6) differential and SIFT algorithm.