… , it is possible to consider all the identities whose corresponding match scores exceed the
threshold ξ that leads to a challenging task in a quite large database (eg, FBI’s next generation …

… on different biometric traits and the number of biometric traits used in the biometric systems.
Following this, we investigate biometric-cryptographic systems that integrate biometrics with …

… For example, in 2011, the Department of Defense and the FBI started working on the United
States’ next generation biometric system, named Next Generation Identification (NGI), which …

… in contactless fingerprint biometrics. First, we provided a comprehensive overview on
contactless … Finally, we provided an overview on 2D and 3D contactless fingerprint comparison. …

… for biometric recognition. It … biometric quality-based adaptive fusion is an avenue to address
this issue. In this paper, we present an overview of the literature about multimodal biometrics …

Biometric systems identify individuals based on unique traits such as the face, fingerprints,
iris etc. The main objective of the study is to understand the role of deep learning in the …

… in biometric recognition using deep learning frameworks. For each work, we provide an
overview … state-of-the-art performance in biometric recognition. We have gathered more than 150 …

… overview paper is to provide a comprehensive introduction into privacy–related research in
the area of biometrics … try to modify the biometric data or elements of biometric systems to limit …

… Biometric distinction on twins has been of increasing interest for … biometric factor (Bowyer
and Flynn, 2016). In this section of the survey, an attempt to identify twins using ocular biometric …

… field, including multimodal biometrics which have EEG as one of the biometric traits, and
work investigating the security, permanence, and stability of brain-based biometrics (Section 9). …