Advancing Biometric Authentication With Dual-Threshold Multi-Modal Systems and Geometric Programming for Enhanced Digital Security

This article describes BMMA-GPT, a biometric authentication system that uses multiple forms of identification (like fingerprints and facial recognition) together with mathematical optimization to improve security and speed. The system uses a dual-threshold approach (two decision points to verify identity) and can be tailored to different organizational needs, achieving high accuracy while keeping verification time under 1.5 seconds.