Abstract

Abstract: Here presents anew approach for shape matching by using Local Tetra Pattern for featureextraction and Scale Invariant Feature Transformation algorithm for matching offeatures very correctly. The valuable part of this system is to match textureand high probable to recognize it accordingly by collaborating some specialfeatures such as invariance in the scale transform deformation lenience andshould be able to work in orientation free atmosphere. The local tetra patternis proposed to extract the image texture features and then scale invariantfeature transformation algorithm which is a powerful one for doing textureclassification and recognition of shape. Based on the characteristics ofrecently proposed shape descriptors, fusion of the techniques used forextraction and matching method, the projected approach performs shape matchingby providing a competent way.

Keywords: Gesturerecognition; Local Tetra Pattern (LTrP); Shape descriptor; Scale InvariantFeature Transformation (SIFT)