Combining Crypto with Biometrics Effectively

By Feng Hao, Ross J. Anderson, John G. Daugman. IEEE transactions on computers, 2006

644 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Biometric Template Security (2008, background): “Other schemes for securing biometric templates such as the ones proposed in [61–65] also fall under this category.”
Efficient Helper Data Key Extractor on FPGAs (2008, methodology): “[16] where they implement a two stage error correcting scheme for biometric applications (iris recognition).”
Fingerprint-Based Fuzzy Vault: Implementation and Performance (2007, background): “Several schemes have been proposed in the literature for implementing a biometric cryptosystem in key binding/generation modes [8]–[13].”
Multibiometric Cryptosystems Based on Feature-Level Fusion (2012, result): “Finally, the security level of 53 bits used in Table III is higher when compared to those typically reported in the literature [19], [25].”
An Analysis of Random Projection for Changeable and Privacy-Preserving Biometric Verification (2010, methodology): “[11] subsequently implemented a similar scheme on an iris-based problem using a two-level error correction mechanism.”
Secure and Robust Iris Recognition Using Random Projections and Sparse Representations (2011, methodology): “Cryptographic techniques were applied in [25] to increase the security of iris systems.”
Image understanding for iris biometrics: A survey (2008, methodology): “Hao, Anderson, and Daugman [55] also effectively used an iris biometric signal to generate a cryptographic key.”