Identification of a Person by Palm Geometry Using Invariant Features
نویسنده
چکیده
264 Abstract— Feature extraction is one of the main topics in Computer Vision. This paper presents the extraction of features of interest from two or more images of the same and different objects and the matching of these features in adjacent images. Each of these feature vectors is supposed to be distinctive and invariant to any scaling, rotation or translation of the image. It uses the SIFT (Scale Invariant Feature Transform) technique for feature extraction from the image. The paper describes our own implementation of the SIFT algorithm and highlights potential direction for future research.
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تاریخ انتشار 2013