Optical authentication method based on correspondence ghost imaging.

Area of Science:

• Optics and Photonics
• Information Security
• Computational Imaging

Background:

• Ghost imaging leverages non-local correlations for unique imaging properties.
• Optical security systems require robust and efficient authentication methods.
• Existing optical authentication schemes often rely on random measurements and high data volumes.

Purpose of the Study:

• To propose a novel optical authentication scheme based on computational ghost imaging.
• To enhance security and efficiency in optical authentication systems.
• To reduce data requirements for authentication processes.

Main Methods:

• Utilizing correspondence imaging for preliminary object image reconstruction.
• Employing a nonlinear correlation algorithm for image authentication.
• Consciously selecting bucket detector measurement values with significant fluctuations.

Main Results:

• Achieved authentication with ultra-low data volumes, less than 1% of the Nyquist limit.
• Demonstrated a simpler algorithm and higher stability compared to previous methods.
• Validated the scheme's feasibility through simulations and physical experiments.

Conclusions:

• The proposed ghost imaging-based optical authentication scheme is highly feasible and practical.
• The method offers significant advantages in terms of data efficiency, stability, and implementation simplicity.
• This technology holds great potential for advancing optical security applications.