The existing multimodal biometric fingerprint and vein deep learning features were found
effective for biometric recognition. However, the current performance of the deep learning …

Compared with single biometric recognition, multimodal biometric recognition based on
fingerprint and finger vein has been widely considered because of its convenient sample …

Multimodal biometric recognition involves two critical issues: feature representation and
multimodal fusion. Traditional feature representation requires complex image preprocessing …

Multimodal biometrics based on feature-level fusion is a significant topic in personal
identification research community. In this paper, a new fingerprint-vein based biometric …

Multimodal biometric system has received increasing interest as it offers a more secure and
accurate authentication solution than unimodal systems. However, existing biometric fusion …

In today's information age, how to accurately identify a person's identity and protect
information security has become a hot topic of people from all walks of life. At present, a …

Finger-vein recognition, which is one of the conventional biometrics, hinders fake attacks, is
cheaper, and it features a higher level of user-convenience than other biometrics because it …

Compared with unimodal biometrics systems, multimodal systems can effectively improve
the recognition performance in accuracy and security. However, exploring a robust feature …

Providing security in biometrics is the major challenging task in the current situation. A lot of
research work is going on in this area. Security can be more tightened by using complex …

Recognition systems using multimodal biometrics attracts attention because they improve
recognition efficiency and high‐security level compared to the unimodal biometrics system …