ABSTRACT
Synthetic biometrics are understood as generated biometric data that are biologically meaningful for existing biometric systems. Contemporary techniques and achievements in biometrics are being developed in two directions: toward the analysis of biometric information and toward the synthesis of biometric information. To generate signatures with any automated technique, it is necessary to consider the formal description of curve segments and their kinematical characteristics, the set of requirements that should be met by any signature generation system, and the possible scenarios for signature generation. The interest in signature analysis and synthesis is motivated by the development of improved devices for human–computer interaction, which enable input of handwriting and signatures. Synthetic biometric data can also be thought in terms of a forgery of biometric data. Properly created artificial biometric data provides an opportunity for the detailed and controlled modeling of a wide range of training skills, strategies, and tactics, thus enabling better approaches to enhancing system performance.
