Secure IRIS Verification

Abstract

In this paper, we present a novel secure iris verification system, where a transformed version of the iris template instead of the plain reference is stored for protecting the sensitive biometric data. An Error Correcting Code (ECC) technique is adopted to perform the comparison in the transformed domain. A two-segment method is proposed to execute the feature verification, where a Bose-Chaudhuri-Hochquenghem (BCH) code of a random bit-stream is introduced to eliminate the considerable differences between the features extracted from different scans of irises. A reliable bits selection process during the iris feature generation stage reduces the system error rate from 6.0% to 0.8%. The appropriate size of the set of reliable bits is determined by investigating the best match between the associated error correct cutting edge and the actual verification accuracy.

A survey on biometric cryptosystems and cancelable biometrics

“…In general, average intraclass distances of iris-codes lie within 20-30%. Implementations of the proposed majority decoding technique (e.g., in [79]) were not found to decrease intra-class distances to that extent.…”

PRIVV: Private remote iris-authentication with Vaulted Verification

“…Fuzzy commitment schemes such as [1,22] bind the iris with a cryptographic key expressed as an error correcting code. However, these techniques have security problems; [16,23] presents attacks against fuzzy commitment schemes.…”

The State-of-the-Art in Iris Biometric Cryptosystems

“…Additionally, implementations of the proposed majority decoding technique (e.g. in Yang & Verbauwhede (2007)) were not found to decrease intra-class distances to that extent.…”