Secure identification based on fuzzy commitment scheme for JPEG XR images
Kenta Iida, Hiroyuki Kobayashi, Hitoshi Kiya · 2016
A secure identification scheme for JPEG XR images is proposed in this paper. The aim is to securely identify JPEG XR images which are generated from the same original image under various compression levels. A property of the positive and negative signs of lapped biorthogonal transform coefficients is employed to achieve a robust scheme against JPEG XR compression. The proposed scheme is robust against a difference in compression levels, and does not produce false negative matches in any compression level. Existing conventional schemes having this property are not secure. To construct a secure identification system, we propose a novel identification system that consists of a new error correction technique and a fuzzy commitment scheme, which is a well-known biometric cryptosystem. The experimental results show the proposed scheme is effective for JPEG XR compressed video sequences in terms of the querying such as false negative and true positive matches, while keeping a high level of the security.