From Scores to Face Templates: A Model-Based Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Secure speech template protection in speaker verification system
Speech Communication
Sorted index numbers for privacy preserving face recognition
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
A secure digital camera based fingerprint verification system
Journal of Visual Communication and Image Representation
Cancelable fingerprint templates using minutiae-based bit-strings
Journal of Network and Computer Applications
An analysis of random projection for changeable and privacy-preserving biometric verification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Cancellable face biometrics system by combining independent component analysis coefficients
IWCF'10 Proceedings of the 4th international conference on Computational forensics
Changeable face representations suitable for human recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
| Hi-index | 0.00 |
This paper explores a form of robust distance measures for biometrics and presents experiments showing that, when applied per "class" they can dramatically improve the accuracy of face recognition. We "robustify" many distance measures included in the CSU face-recognition toolkit, and apply them to PCA, LDA and EBGM.The resulting performance puts each of these algorithms, for the FERET datasets tested, on par with commercial face recognition results. Unlike passords, biometric signatures cannot be changed or revoked.This paper shows how the robust distance measures introduce can be used for secure robust revocable biometrics.The technique produces what we cal Biotypes^TM which provide public-key cryptographic security, supports matching in encoded form, cannot be linked across different databases and are revocable.Biotopes support a robust distance measure computed on the encoded form that is proved to not decrease, and that may potentially increase, accuracy.The approach is demonstrated to improveperformance beyond the already impressive gains from the robust distance measure.