TY - JOUR
T1 - Hand-based multibiometric systems
T2 - state-of-the-art and future challenges
AU - Aftab, Anum
AU - Khan, Farrukh Aslam
AU - Khan, Muhammad Khurram
AU - Abbas, Haider
AU - Iqbal, Waseem
AU - Riaz, Farhan
N1 - Publisher Copyright:
© 2021. Aftab et al.
PY - 2021
Y1 - 2021
N2 - The traditional methods used for the identification of individuals such as personal identification numbers (PINs), identification tags, etc., are vulnerable as they are easily compromised by the hackers. In this paper, we aim to focus on the existing multibiometric systems that use hand based modalities for the identification of individuals. We cover the existing multibiometric systems in the context of various feature extraction schemes, along with an analysis of their performance using one of the performance measures used for biometric systems. Later, we cover the literature on template protection including various cancelable biometrics and biometric cryptosystems and provide a brief comment about the methods used for multibiometric template protection. Finally, we discuss various open issues and challenges faced by researchers and propose some future directions that can enhance the security of multibiometric templates.
AB - The traditional methods used for the identification of individuals such as personal identification numbers (PINs), identification tags, etc., are vulnerable as they are easily compromised by the hackers. In this paper, we aim to focus on the existing multibiometric systems that use hand based modalities for the identification of individuals. We cover the existing multibiometric systems in the context of various feature extraction schemes, along with an analysis of their performance using one of the performance measures used for biometric systems. Later, we cover the literature on template protection including various cancelable biometrics and biometric cryptosystems and provide a brief comment about the methods used for multibiometric template protection. Finally, we discuss various open issues and challenges faced by researchers and propose some future directions that can enhance the security of multibiometric templates.
KW - AI
KW - Fusion techniques
KW - Multibiometric template protection
KW - Multimodal biometrics
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U2 - 10.7717/peerj-cs.707
DO - 10.7717/peerj-cs.707
M3 - Article
AN - SCOPUS:85124152995
SN - 2376-5992
VL - 7
JO - PeerJ Computer Science
JF - PeerJ Computer Science
M1 - e707
ER -