Automatic Identification of Temples in Digital Images through Scale Invariant Feature Transform

Identification of Temples via computer technology is very tough in end user images. Since, in the CV fewer data available to presume the discrepancy in the testing digital images. Entity recognition is exactly tough and sensibly helpful problem in the field of computer based tactic. In our projected paper, we present a computerized scheme for knowing temples in the captured digital icons. As we are very aware an enormous amount of effort has been applied on automobiles, Architectures, Creatures and many more. Therefore, here we planned to exertion designed for temple identification to facilitate integrated on authors assembled photos, Till time no tests had been intended for temple identification within pictures. From the CV sentiment, temple recognition is not easy because depiction or contours of a variety of Architectures are identical. Therefore, we directed a fresh slant to touch contour on temple identification in the digital photos using Scale Invariant Feature Transform. Here we also include a few scenes which have similar shape in digital images of temples and similar in building classification. In the planned effort employed sculpt in which contour attributes are in use for discover temple in lots of Architectures however identical figures are found within buildings.