Abstract
We present an optical authentication system that leverages far-field patterns of chaotic-cavity VCSELs and real-time CNN-based recognition, achieving 100 % identification accuracy with high robustness to misalignment. This scalable and cost-effective approach promises secure and practical anticounterfeit and authentication solutions for next-generation consumer electronics.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE Photonics Conference, IPC 2025 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331525590 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
| Event | 2025 IEEE Photonics Conference, IPC 2025 - Singapore, Singapore Duration: 9 Nov 2025 → 13 Nov 2025 |
Publication series
| Name | 2025 IEEE Photonics Conference, IPC 2025 - Proceedings |
|---|
Conference
| Conference | 2025 IEEE Photonics Conference, IPC 2025 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 9/11/25 → 13/11/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- VCSEL
- chaotic cavity
- optical authentication
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Signal Processing
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
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