Human Identification by Ear Images Using SIFT Algorithm

This paper presents a method for extracting distinctive invariant features from ear images that can be used to perform reliable matching between different views of an ear. It shows the extraction of features from an ear image and also the results of it are matching with other samples of both same and different subjects. Each of these feature vectors is supposed to be distinctive and invariant to any scaling, rotation or translation of the image