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Optical image encryption based on biometric keys and singular value decomposition.

Shan Tao, Chen Tang, Yuxin Shen

|April 1, 2020

Summary

This summary is machine-generated.

This study introduces a novel optical image encryption system using biometric palmprint keys and singular value decomposition (SVD). The system offers enhanced data security and robustness against various attacks for secure image transmission.

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Area of Science:

Optics and Photonics
Information Security
Biometrics

Background:

Traditional image encryption methods face challenges in security and robustness.
Biometric keys offer unique identification for enhanced security.
Singular Value Decomposition (SVD) is a powerful tool for image processing and encryption.

Purpose of the Study:

To propose a novel asymmetric optical image cryptosystem.
To leverage biometric keys and SVD for enhanced data security.
To develop a robust encryption system against various attacks.

Main Methods:

An asymmetric optical cryptosystem is proposed using biometric keys (palmprint phase mask, chaotic phase mask) and SVD.
Images are encoded, modulated by a palmprint phase mask, and processed using Fresnel transform and SVD in the Fresnel domain.
SVD is utilized to generate distinct private secret keys for encryption and decryption.

Main Results:

The proposed system encrypts multiple images into a real-valued ciphertext for convenient storage and transport.
Numerical simulations confirm the system's robustness against statistical, occlusion, noise, and chosen-plaintext attacks.
The use of palmprint keys enhances data security due to the uniqueness of biometric data.

Conclusions:

The proposed asymmetric optical image cryptosystem offers a secure and robust solution for image encryption.
Biometric keys combined with SVD provide a unique and effective approach to data security.
The system demonstrates practical applicability for secure image transmission and storage.