Biometric authentication is a security procedure used to verify a person's identity, based on his or her unique physical characteristics. It is used to control access to both physical and digital resources, such as organizations, rooms, and different gadgets. Multiple biometric authentication systems use more than one physiological feature of an individual for the purpose of identification and verification and they are a superior solution for every industry that demands higher accuracy as well as security. This method proposes a contact less multiple biometric authentication system which uses palm print and hand geometry features. A temperature sensor is integrated in this system for detecting elevated body temperatures. A high body temperature or fever is related to many diseases and can be a first indicator whether a person is healthy or not. Using the SIFT (Scale Invariant Feature Transform) algorithm, this design achieves robust local feature detection and extraction in an image.