In order to ameliorate the degree of trustiness and, high security, we have presented a new approach to hand signature verification applying data glove. Data glove is a new-fangled dimension in the field of virtual-reality environments, originally designed to satisfy the stringent requirements of modern motion capture and animation professionals. In our research, we attempt to change over the carrying out of data glove from motion animation towards signature substantiation problem, making use of the offered multiple degrees of freedom for each finger as well as for the hand. Our proposed approach is tested in context of highly skilled forgeries with a large number of glove-based signature data sets and obtained a significant level of accuracy in signature verification. © 2010 IEEE.