David W. Jacobs, Daphna Weinshall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
An accurate automatic personal identification is critical to a wide range of application domains such as access control, electronic commerce, and welfare benefits disbursement. Traditional personal identification methods (e.g., passwords, and PIN) suffer from a number of drawbacks and are unable to positively identify a person. Biometrics refers to automatic identification of an individual based on her distinct physiological and/or behavioral traits. While biometrics is not an identification panacea, it is beginning to provide very powerful tools for a variety of new applications (e.g., cellular phones, smart cards and international border control) requiring positive identification. This paper attempts to summarize important research issues in biometrics.
David W. Jacobs, Daphna Weinshall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
Daniel Karl I. Weidele, Hendrik Strobelt, et al.
SysML 2019
Baihan Lin, Guillermo Cecchi, et al.
IJCAI 2023
Hironori Takeuchi, Tetsuya Nasukawa, et al.
Transactions of the Japanese Society for Artificial Intelligence