Optimal Brain Structural Biometric Authentication through Medical Imaging

Shaleen Bhatnagar, Aditya Kishore Saxena

Research output: Contribution to journalArticlepeer-review

Abstract

Brain is an organ which defines individuality of a human being. It is quite evident to make use of it for human biometric identification. The electrical impulses generated by the human brain while performing various tasks and showing behavior have been studied conventionally for human biometric authentication. But researchers have shown that the behavioral biometrics are very unstable and cannot guarantee successful authentication all the time. Thus, it is necessary to devise biometric features from the brain structure which is comparatively stable at macro level. Brain structural information can be identified from magnetic resonance imaging (MRI) images but for biometrics we require portable and low-cost machines for MRI imaging. Feasibility of the brain structural biometrics in near future has been established through a ladder of review of portable MRI machines. We have proposed a novel secure approach covering optimal structural information of the 3D brain which mitigates the unaddressed problems by previous approaches of brain biometric using structural information of the brain. The robustness and scalability of the template has been investigated thoroughly and found to be optimistic to establish a novel biometric modality in near future.

Original languageEnglish
Pages (from-to)277-287
Number of pages11
JournalInternational Journal of Computing and Digital Systems
Volume13
Issue number1
DOIs
Publication statusPublished - 2023

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence
  • Management of Technology and Innovation

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