Exploration on the Application of Multimodal Biometric Feature Recognition in System Access Control

Multimodal biometric recognition is a technology that combines multiple biometric features for identity verification and access control. It can be applied to system access control to improve security and convenience. The basic principles and application fields of multimodal biometric recognition technology have been widely studied and applied. By integrating multiple biological features such as fingerprints, iris, voice, facial features, etc., higher security can be provided because these biological features have high uniqueness and unforgeability. Compared with traditional identity verification methods, multimodal biometric recognition technology does not require memorizing complex passwords or carrying identification documents, thus providing a more convenient user experience. However, multimodal biometric recognition technology also faces some challenges and privacy issues in its application process. For example, the storage and protection of biometric data require careful handling to prevent the risk of data leakage and abuse According to the data, the usage rate of multimodal biometric recognition in system access control increased sharply from 6.27% in 2015 to 67.92% in 2021. This shows the role and prospects of multimodal biometric recognition in system access control systems. While promoting and applying multimodal biometric recognition technology, it is also necessary to pay attention to solving privacy and security issues to ensure its effective application in system access control.