Go to DBLP homepageIris Template Protection Based on Randomized Response Technique and Aggregated Block Information
Abstract: Nowadays, biometric recognition has been widely used in real-world applications, but it has also brought potential privacy threats to users. Iris template protection enables an effective iris recognition while protecting personal privacy. In this paper, we propose a method for iris template protection based on randomized response technique and aggregated block information. Specifically, the iris data are first permuted according to an application-specific parameter; next, the permuted data are flipped using the randomized response technique; finally, the result is divided into blocks, and the aggregated information (i.e., the sum of all bits) in each block is calculated and stored instead of original iris data for privacy protection. We demonstrate that the proposed method supports the shifting and masking strategies for enhancing recognition performance. Moreover, the proposed method satisfies the three privacy requirements prescribed in ISO/IEC 24745: irreversibility, revocability and unlinkability. Experimental results show that the proposed method could effectively maintain the recognition performance (w.r.t. the original iris recognition system without privacy protection) on the iris database CASIA-IrisV3-Interval.
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