Currently, a number of systems for determining or verifying the identity of an individual have been developed that rely on a single, intricate identifying feature such as a fingerprint or the retina of an eye. The large amount of detail required for such systems generally complicates sensing and necessitates a certain amount of direct interaction with human users. Although current systems work reasonably well, it is advantageous to explore new techniques that reduce the amount of interaction required and minimize the possibility of deception. The development of a standoff (i.e., no physical contact) biometric identification system capable of quickly determining or verifying the identity of an individual with a low probability of error is described. The low probability of error is obtained by fusing coarse features remotely acquired from the face, hand and voice. Individually, these features provide inadequate error performance, however, complementary information obtained by fusing or combining the features in a higher dimensional feature space enables reliable identity determination. The use of coarse features simplifies the remote sensing requirements, reduces the computing power required for feature extraction and minimizes human interaction with the system. The simultaneous use of multiple features from multiple sensors lessens the possibility of deception. A description of the system is presented together with preliminary performance results.