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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 ofdoi:10.7717/peerj-cs.707 pmid:34712793 pmcid:PMC8507475 fatcat:aejhjsxfbnhtzeiyggynamkbim