| Title |
Pre-training De-noise CNN Method for Encryption and Decryption of Document Security Patterns based on Computer-generated Hologram |
| Authors |
고철영(Cheolyoung Go) ; 황이환(Leehwan Hwang) |
| DOI |
https://doi.org/10.5573/ieie.2024.61.10.85 |
| Keywords |
Computer-generated hologram; Document security; Pre-training de-noise CNN; Encryption; Offline decryption |
| Abstract |
This paper presents a novel approach to enhancing document security by applying Computer-Generated Hologram (CGH) encryption technology to document encryption. The proposed system encrypts documents using CGH technology and prints the encrypted data on the edges of the document, enabling high-resolution restoration. To achieve this, the system employs a Pre-training De-noise CNN method to enhance the quality of the CGH and accurately reproduce the original state of the document. Additionally, the system supports offline decryption, ensuring tamper detection even in environments without internet connectivity. This research contributes to the development of a comprehensive and versatile solution for ensuring document security and integrity across various domains |