A Multi-Detector Security Architecture with Local Feature-Level Fusion for Multimodal Biometrics

The hierarchical identification model with multiple detectors is an innovative approach for biometric systems design which improves the identification accuracy while ensuring the computational complexity reduction. This complexity reduction provides additional advantages in terms of execution time and recognition accuracy. The model is different from the actual solutions for biometric data classification because it essentially uses a special kind of classifiers （detectors） and the identification decision is issued in a hierarchical way according to the users importance; this makes it suitable for various security requirements applications （users with different authorization levels）. The model includes a local feature-level fusion for each of the integrated biometrics. The paper defines and explains the multi-detector security architecture with its basic functions. The achieved experimental results are discussed to reveal the proposed method advantages and further potential enhancements for particular use cases.