IEEE Transactions on Pattern Analysis and Machine Intelligence
An Effective Approach for Iris Recognition Using Phase-Based Image Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Dental Radiograph Recognition System Using Phase-Only Correlation for Human Identification
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A Palmprint Recognition Algorithm Using Phase-Only Correlation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Phase scrambling for blind image matching
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Biometrics: a tool for information security
IEEE Transactions on Information Forensics and Security
A pyramid approach to subpixel registration based on intensity
IEEE Transactions on Image Processing
Extension of phase correlation to subpixel registration
IEEE Transactions on Image Processing
Subpixel estimation of shifts directly in the Fourier domain
IEEE Transactions on Image Processing
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We herein propose an image matching in the scrambled domain for preventing illegal image matching, which is defined as a malicious and intentional act conducted in order to deduce the content of images. The phase of discrete Fourier transform (DFT) coefficients of images is scrambled for visual protection. In addition, the magnitude of DFT coefficients is scrambled for preventing illegal image matching. Phase-only correlation (POC) or phase correlation can be applied directly to images in the scrambled domain for alignment and similarity. The accuracy of POC in the scrambled domain is the same as that in the non-scrambled domain. Simulations are presented to confirm the appropriateness and effectiveness of the proposed scrambling.