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Hand-based multibiometric systems: state-of-the-art and future challenges.
Aftab, Anum; Khan, Farrukh Aslam; Khan, Muhammad Khurram; Abbas, Haider; Iqbal, Waseem; Riaz, Farhan.
Affiliation
  • Aftab A; National University of Sciences and Technology, Islamabad, Pakistan.
  • Khan FA; Center of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh, Saudi Arabia.
  • Khan MK; Center of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh, Saudi Arabia.
  • Abbas H; National University of Sciences and Technology, Islamabad, Pakistan.
  • Iqbal W; National University of Sciences and Technology, Islamabad, Pakistan.
  • Riaz F; National University of Sciences and Technology, Islamabad, Pakistan.
PeerJ Comput Sci ; 7: e707, 2021.
Article de En | MEDLINE | ID: mdl-34712793
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.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: PeerJ Comput Sci Année: 2021 Type de document: Article Pays d'affiliation: Pakistan Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: PeerJ Comput Sci Année: 2021 Type de document: Article Pays d'affiliation: Pakistan Pays de publication: États-Unis d'Amérique