EE 368 Project Report – CD Cover Recognition Using Modified SIFT Algorithm

In this report, we investigate the application of the Scale-Invariant Feature Transform (SIFT) to the problem of CD cover recognition. The algorithm uses modified SIFT approach to match keypoints between the query image taken by camera phone and the original database of CD covers. The extracted features are highly distinctive as they are shift, scale and rotation invariant. They are also partially invariant to illumination and affine transformations. All these properties make them very suitable to the problem at hand. Experimental results show the efficient performance of the developed algorithm in terms of recognizing all the 99 images provided in the training set.