Optimal Designs for Parameter Estimation and Model Tests (original) (raw)

This paper discusses the critical role of biometric-based security systems in ensuring secure access to electronic equipment and addresses the limitations of traditional identification methods, which rely on knowledge and ownership factors. It explores the advantages of using both primary and soft biometric traits, highlighting how soft biometrics can enhance traditional systems by providing additional identification capabilities without requiring user cooperation. The paper emphasizes the importance of developing optimal designs for parameter estimation and model tests in the biometric field to improve recognition rates and overcome the challenges associated with unimodal systems.