In this paper, the authors present Scale Invariant Feature Transform (SIFT) implementation using system generator used for object recognition. The features are invariant to image scale and rotation, and are shown to provide robust matching across a substantial range of affine distortion, addition of noise and change in illumination. The features are highly distinctive, in the sense that a single feature can be correctly matched with high probability against a large database of feature from many images. In this paper, integral image architecture is implemented using Xilinx system generator for real time application needs.