In this novel paper we propose real time visual authentication based on real time image matching using fuzzy moment descriptors, these descriptors are estimated for three common kinds of image attributes namely edge, shade and mixed range. Generally the methods for matching of digital images by the comparison of the positions of directed edges, shades and mixed-range in the captured image with the existing image present in the Data Base, are often prone to error, due to noise and/or variation in illumination. Since a Fuzzy moment descriptors being less sensitive to noise, so it makes the matching process invariant to the above said external disturbances. Further, the normalization and sorting of the moment vectors keep the matching process invariant to size and rotation of images. So in this paper we have considered the fuzzy moment descriptors for matching of digital images and the implementation of the propose work is done using openCv software package interface with the visual c++ to capture the real time image and convert into the gray image and after that, fuzzy moment descriptors for image matching and authentication.