Extraction and encryption of facial information for government personnel: STP-CS with Tri-color shuffling scheme

Abstract

Facial recognition security is a critical concern in the government sector. Protecting individuals’ facial information is essential for ensuring the confidentiality of documents accessed via facial recognition, thereby preventing theft and damage. This paper proposes a facial image protection scheme based on a semi-tensor product compressed sensing (STP-CS) and tri-color shuffling scheme (TSS). First, facial information is extracted and compressed to reduce the data volume required for encryption. Then, the chaotic sequences generated by the Autapse Aihara neuron (AAN) map, combined with TSS, are used to encrypt the facial information of all authorized personnel. Finally, simulation tests and performance analyses validated the feasibility and security of the proposed encryption scheme, effectively protecting the facial information from theft and misuse.