Review of Recent Patents on Cancelable Biometrics
Kai Yang and Eliza Yingzi Du
Affiliation: Pattern Recognition and Biometrics Laboratory, Department of Electrical and Computer Engineering, Indiana University Purdue University Indianapolis, 723 W.Michigan Street SL 160, Indianapolis, IN 46202, United States.
Keywords: Biometrics, cancelable biometrics, security and privacy, Face recognition, partial fingerprint identification, biometric authentication, Hand-geometry recognition, Multispectral fingerprint imaging, fingerprint data
In general, the biometric patterns of an individual are permanently bound with him/her and it is almost impossible to replace. As a result, once stolen or compromised, the biometric data are either lost forever or are very hard to recover. Thus, it is desirable to secure the original patterns and design a method to ensure their revocability when compromised, which is known as “cancelable biometrics”. In this paper, recent patents and related papers on cancelable biometrics are reviewed, including different biometrics encryption algorithms and feature transformation methods.
Rights & PermissionsPrintExport