Amalgamation of ORB and SWIFT to identify an image efficiently

Abstract

It seen in the recent times that huge data of images is common due to exposure of digital camera to society. This creates a requirement of processing this huge data repository based on a few common requisites. Number of algorithms is for various different of processing seen in use. This paper provides the comparison of ORIENTED fast and ROTATED BRIEF (ORB) and SCALE INVARIANT FEATURE TRANSFORM (SIFT) methods for different scaled and rotated values. A study can 0064i date image with different values for rotation and scaling considered finding the most efficient combination to be use. The paper also provides a combination of ORB and SIFTS method, which provides the most efficient results. The analysis of results yields novel results indicating the optimization of computation time and accuracy of identification. The paper brings about an identification method where in an image can be rotated to certain degree based on the candidate image position and then identified to provides more time efficient identification.