Three dimensional palm print has proved to be significant biometric for personal authentication. Personal authentication plays a key role in application of public security, access control, forensics and e-banking etc. 2-D palm print has been recognized as an effective biometric identifier in past decade. 3-D palm print system develops to capture the depth information of palm print. The previous paper of 3-D palm print recognition done using local features such as line, texture, wrinkles, point but, in this paper, the authors are using the global features such as width, length and area of the palm.