Human hand recognition is a practical problem in pattern recognition for restricted access environment. The methodology of shape analysis, a conventional method for object identification, has been studied in this paper for human hand recognition. The idea behind the chosen approach is to consider human hand as an object of definite rigid shape, extract its boundary and shape parameters as recognition features. Shape analysis requires the extraction of object features, often normalized and invariant to various geometric change such as translation, rotation and scale. In the human hand recognition system three different views at different orientations of the same hand were taken with the help of PULNIX CCD camera. The digital image of hand has been analyzed using Fourier descriptors and various moment invariants.