The IEEE Transactions on Biometrics, Behavior, and Identity Science  publishes original articles on all aspects of biometrics (i.e. recognizing people through their physiological or behavioral traits such as face, fingerprint, iris, and signature), including theory, applications, systems, and surveys. Biometrics are personal identity characteristics where people are recognized by who they are rather than by what they own; behavior is the typical movement of a person that is unique and identifiable; identity science underlies the application of biometrics. Papers focusing on ramifications of these areas will also be welcomed, such as security of such systems, standards for their deployment, and new architectures and systems are also welcomed. Broad topics of interest include but are not limited to:

    Biometric modalities and their fusion
    Novel pattern classification and machine learning, including deep learning, algorithms for biometrics and identity science
    Behavior analysis related to biometrics and identity science
    Security of biometrics and identity systems Applications including forensics, healthcare, and law enforcement