A Multichannel Approach to Fingerprint Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Enhancing security and privacy in biometrics-based authentication systems
IBM Systems Journal - End-to-end security
NDFT-based Audio Watermarking Scheme with High Security
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
New shielding functions to enhance privacy and prevent misuse of biometric templates
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Attack against robust watermarking-based multimodal biometric recognition systems
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ACM SIGAPP Applied Computing Review
Watermarking as a means to enhance biometric systems: a critical survey
IH'11 Proceedings of the 13th international conference on Information hiding
Two-factor biometric recognition with integrated tamper-protection watermarking
CMS'11 Proceedings of the 12th IFIP TC 6/TC 11 international conference on Communications and multimedia security
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This paper presents a novel fingerprint-biometric template protection scheme, in which templates are concealed into audio signals. Fingerprint templates are encrypted by chaotic encryption and then hid into the chaotically selected random sampling points of the host audio signal by a new non-uniform discrete Fourier transform (NDFT)-based data hiding method. The template extraction process is completely blind and does not require original audio signal, thus the extraction depends on the secret key. Experimental results show that the proposed scheme is robust against common signal processing attacks and achieves higher verification accuracy.