Fusion of Iris, Face, Fingerprint using Score Level Mechanism for Biometric Application
E Balraj, M Suryaprakash, P Vignesh, R Vigneshwar, Vinoth Kumar A · 2023
When it comes to authentication, biometric systems evaluate unique characteristics about a person, such as their face, iris, or fingerprint. However, although this may seem like a greatsolution, multi-model biometrics may also lead to assaults like spoofing and limited accuracy. The capacity of multi-model biometrics technology to address challenges and fuel their development has recently drawn attention (Using VGG 16 and grassmann). With 92% accuracy, 1000 photos were classified into different categories using the proposed system's visual geometry group 16 for object identification and classification. In order to better organise and coordinate the images with the accounts, we may use the Grassmann manifoldlearning technique to finish the still to video planning strategy. The results of the experiment are quite convincing.