Cancelable Biometric Identification by Combining Biological Data with Artifacts

Recently, due to the ability to accurately and rapidly identify an individual using physical attributes, the development of identification systems using biometrics has attracted a great deal of interest. Despite progress with various types of systems, users are often hesitant to submit their unique biological data during the initial enrollment process. In addition, current biometric identification systems have a major vulnerability: spoofing. In this study, we introduce a novel method of cancelable biometric identification that combines biological data with the use of artifacts, and is resistant to spoofing.