TY - JOUR
T1 - Biometric feature-type transformation
T2 - Making templates compatible for secret protection
AU - Lim, Menghui
AU - Teoh, Andrew Beng Jin
AU - Kim, Jaihie
N1 - Publisher Copyright:
© 1991-2012 IEEE.
PY - 2015/9/1
Y1 - 2015/9/1
N2 - Biometrics refers to physiological (i.e., face, fingerprint, hand geometry, etc.) and behavioral (i.e., speech, signature, keystroke, etc.) traits of a human identity. As these traits are unique to individuals, biometrics can be used to identify users reliably in many authentication applications, such as access control and e-commerce. Most biometric authentication systems offer great convenience without requiring the users to possess or remember any secret credentials. For applications that demand greater security, biometrics can be used in complement with passwords and security tokens to offer a multifactor authentication.
AB - Biometrics refers to physiological (i.e., face, fingerprint, hand geometry, etc.) and behavioral (i.e., speech, signature, keystroke, etc.) traits of a human identity. As these traits are unique to individuals, biometrics can be used to identify users reliably in many authentication applications, such as access control and e-commerce. Most biometric authentication systems offer great convenience without requiring the users to possess or remember any secret credentials. For applications that demand greater security, biometrics can be used in complement with passwords and security tokens to offer a multifactor authentication.
UR - http://www.scopus.com/inward/record.url?scp=85032752302&partnerID=8YFLogxK
U2 - 10.1109/MSP.2015.2423693
DO - 10.1109/MSP.2015.2423693
M3 - Journal article
AN - SCOPUS:85032752302
SN - 1053-5888
VL - 32
SP - 77
EP - 87
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
IS - 5
M1 - 7192822
ER -