Adapted wavelet analysis from theory to software
Adapted wavelet analysis from theory to software
Nonstationary subdivision schemes and multiresolution analysis
SIAM Journal on Mathematical Analysis
Protection of wavelet-based watermarking systems using filter parametrization
Signal Processing - Special section: Security of data hiding technologies
Enhancing security and privacy in biometrics-based authentication systems
IBM Systems Journal - End-to-end security
From Template to Image: Reconstructing Fingerprints from Minutiae Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
Key-dependent JPEG2000-based robust hashing for secure image authentication
EURASIP Journal on Information Security
EURASIP Journal on Advances in Signal Processing
Secure Computation for Privacy Preserving Biometric Data Retrieval and Authentication
EuroISI '08 Proceedings of the 1st European Conference on Intelligence and Security Informatics
Privacy-Preserving Face Recognition
PETS '09 Proceedings of the 9th International Symposium on Privacy Enhancing Technologies
Attacking Iris Recognition: An Efficient Hill-Climbing Technique
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Fingerprint Reconstruction: From Minutiae to Phase
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parametrization of compactly supported orthonormal wavelets
IEEE Transactions on Signal Processing
Fingerprint Image Reconstruction from Standard Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient iris recognition by characterizing key local variations
IEEE Transactions on Image Processing
How to Generate Spoofed Irises From an Iris Code Template
IEEE Transactions on Information Forensics and Security
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A technique to generate non-invertible and revocable iris templates is proposed employing key-dependent wavelet transforms. In particular, parametrised wavelet-filters and wavelet packets are used in feature extraction in replacement of a pyramidal D4 wavelet transform. Since the template generation process is non-invertible by design, the overall scheme is non-invertible as well. Recognition accuracy is found to be high as long as personal tokens remain secret, templates can be revoked by simply exchanging the wavelet transform applied in the feature extraction process.