Multimodal biometrics combines multiple biometric modalities, such as fingerprints, facial recognition, and voice recognition, to enhance the accuracy and reliability of identity verification systems. By integrating different biometric traits, these systems can overcome limitations of unimodal systems, improving security and reducing the likelihood of false matches or rejections.