CROct 2, 2017

Data hiding in Fingerprint Minutiae Template for Privacy Protection

arXiv:1710.00516v12 citations
Originality Synthesis-oriented
AI Analysis

This addresses privacy protection in fingerprint recognition systems, but it is incremental as it builds on existing data hiding techniques.

The paper tackles the problem of embedding personal data into fingerprint minutiae templates while preserving recognition accuracy and hiding detectability, achieving acceptable recognition accuracy after data hiding.

In this paper, we propose a novel scheme for data hiding in the fingerprint minutiae template, which is the most popular in fingerprint recognition systems. Various strategies are proposed in data embedding in order to maintain the accuracy of fingerprint recognition as well as the undetectability of data hiding. In bits replacement based data embedding, we replace the last few bits of each element of the original minutiae template with the data to be hidden. This strategy can be further improved using an optimized bits replacement based data embedding, which is able to minimize the impact of data hiding on the performance of fingerprint recognition. The third strategy is an order preserving mechanism which is proposed to reduce the detectability of data hiding. By using such a mechanism, it would be difficult for the attacker to differentiate the minutiae template with hidden data from the original minutiae templates. The experimental results show that the proposed data hiding scheme achieves sufficient capacity for hiding common personal data, where the accuracy of fingerprint recognition is acceptable after the data hiding.

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