A Dual Multimodal Biometric Authentication System Based on WOA-ANN and SSA-DBN Techniques

Identity management describes a problem by providing the authorized owners with safe and simple access to information solutions for specific identification processes. The shortcomings of unimodal systems have been addressed introduction multimodal biometric systems. use has increased system’s overall recognition rate. A new degree fusion, known as an intelligent Dual Multimodal Biometric Authentication Scheme, is established in this study. In proposed work, two are developed combining three ECG, sclera, fingerprint selected work. sequential model system using decision-level fusion based on WOA-ANN. parallel score-level SSA-DBN. authentication performs preprocessing, feature extraction, matching, scoring each system. On attribute, matching scores individual accuracy cyphered independently. matcher performance-based procedure demonstrated qualities because matchers these traits produce varying values. two-level technique (score feature) implemented separately, their results current scheme compared exhibit optimum model. suggested plan makes highest TPR, FPR, rates.