SHAPE MATCHING TECHNIQUE BY MAKING THE FUSION OF LTrP & SIFT FOR GESTURE RECOGNITION

Abstract

Here presents a new approach for shape matching by using Local Tetra Pattern for feature extraction and
Scale Invariant Feature Transformation algorithm for matching of features very correctly. The valuable part of this
system is to match texture and high probable to recognize it accordingly by collaborating some special features such as
invariance in the scale transform deformation lenience and should be able to work in orientation free atmosphere. The
local tetra pattern is proposed to extract the image texture features and then scale invariant feature transformation
algorithm which is a powerful one for doing texture classification and recognition of shape. Based on the characteristics
of recently proposed shape descriptors, fusion of the techniques used for extraction and matching method, the projected
approach performs shape matching by providing a competent way.