Vector quantization and signal compression
Vector quantization and signal compression
Speaker identification and verification using Gaussian mixture speaker models
Speech Communication
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
Experiments with Random Projection
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Integration of Face and Speaker Recognition by Subspace Method
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Enhancing security and privacy in biometrics-based authentication systems
IBM Systems Journal - End-to-end security
Cancelable Biometric Filters for Face Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Random-data perturbation techniques and privacy-preserving data mining
Knowledge and Information Systems
IEEE Transactions on Knowledge and Data Engineering
Robust Distance Measures for Face-Recognition Supporting Revocable Biometric Tokens.
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generating Cancelable Fingerprint Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symmetric hash functions for fingerprint minutiae
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Cancelable key-based fingerprint templates
ACISP'05 Proceedings of the 10th Australasian conference on Information Security and Privacy
Cancelable Biometrics Realization With Multispace Random Projections
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A taxonomy of biometric system vulnerabilities and defences
International Journal of Biometrics
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Due to biometric template characteristics that are susceptible to non-revocable and privacy invasion, cancellable biometrics has been introduced to tackle these issues. In this paper, we present a two-factor cancellable formulation for speech biometrics, which we refer as probabilistic random projection (PRP). PRP offers strong protection on speech template by hiding the actual speech feature through the random subspace projection process. Besides, the speech template is replaceable and can be reissued when it is compromised. Our proposed method enables the generation of different speech templates from the same speech feature, which means linkability is not exited between the speech templates. The formulation of the cancellable biometrics retains its performance as for the conventional biometric. Besides that, we also propose 2D subspace projection techniques for speech feature extraction, namely 2D Principle Component Analysis (2DPCA) and 2D CLAss-Featuring Information Compression (2DCLAFIC) to accommodate the requirements of PRP formulation.