Point cloud holographic encryption display system involving 3D face recognition and air-writing

Area of Science:

• Computer Science
• Information Security
• Optics

Background:

• Traditional identity verification methods face challenges in multi-level security applications.
• The need for robust and efficient encryption techniques is critical for protecting sensitive data and objects.

Purpose of the Study:

• To propose a novel holographic identity verification encryption system.
• To integrate face recognition, air-writing, and a new encryption algorithm for enhanced object security.

Main Methods:

• Development of a holographic system incorporating biometric authentication (face recognition and air-writing).
• Implementation of the multiple point cloud gridding encryption (M-PCGE) algorithm for data security.
• Experimental validation of the encryption and decryption process.

Main Results:

• The M-PCGE algorithm demonstrated rapid image encryption and decryption capabilities.
• High degrees of image restoration were achieved post-decryption.
• The proposed system's security was experimentally verified, confirming its effectiveness.

Conclusions:

• The integrated holographic system offers a viable solution for multi-level object security.
• The M-PCGE algorithm is efficient and effective for secure image encryption and decryption.
• The combination of biometrics and advanced encryption significantly enhances identity verification.