The biometric security system identifies the identity of the user and determines whether the user's identity is consistent with what is declared in the system. The identification system identifies the unique identifier that best suits the user's characteristics, while the authentication system determines whether the user is the real user or the system's attacker. The rise of the network interface and the development of new software applications present a high risk of security breaches through multiple means of fraudulent or counterfeit data. Existing biometric security systems require the integration of multiple biometric means. Multimodal biometrics fusion using pretrained Deep learning model will improve the authentication score of the system.