Fundamental Limits of Biometric Identification System Under Noisy Enrollment

The fundamental limits of biometric identification systems under a strong secrecy criterion are investigated. In the previous studies this scenario, trade-off among secrecy, template, privacy- and secrecy-leakages has been revealed in case where there is only one user, while multiple users not discussed yet. study, we consider system with exponentially many users, characterize capacity region rate tuples including user (identification) criterion. achievability proof, derive new method to incorporate by extending random binning for user's case. obtained result shows that characterization does vary regardless weak or terms secrecy-leakage.