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This paper introduces a new multi-instance key regeneration system used to regenerate cryptographic keys from biometric data. The serial concatenation of Reed-Solomon and Hadamard codes together with the use of a single extra mechanism and biometrics improve the biometric performance and security of the system, also making it possible the regeneration of longer and higher entropy cryptographic keys. The system was evaluated on two public databases: Casia-Biosecure and NIST-ICE 2005 and it provided a complete separation between the Hamming distance distributions for genuine users and impostors, respectively, being able to achieve both false acceptance rate (FAR) and false rejection rate (FRR) of 0%. Furthermore, on NIST-ICE 2005 it is possible to regenerate a 287 binary digit cryptographic key with estimated entropy of 160 bits at 0% FAR and 0.34% FRR.

No abstract

This paper introduces a new multi-instance key regeneration system used to regenerate cryptographic keys from biometric data. The serial concatenation of Reed-Solomon and Hadamard codes is used with a single mechanism that improves the biometric performance and security of the system, also making possible the regeneration of longer and higher entropy cryptographic keys. The system was evaluated on two public databases: CBS and NIST-ICE 2005. On NIST-ICE 2005 it is possible to regenerate a 287 binary digit cryptographic key with estimated entropy of 160 bits at 0% False Acceptance Rate (FAR) and 0.3371% False Rejection Rate (FRR).

No abstract