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Hand-based multibiometric systems: state-of-the-art and future challenges.

Anum Aftab1, Farrukh Aslam Khan2, Muhammad Khurram Khan2

  • 1National University of Sciences and Technology, Islamabad, Pakistan.

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Summary
This summary is machine-generated.

Traditional identification methods are insecure. This study reviews hand-based multibiometric systems, analyzing feature extraction, template protection, and future security enhancements for robust individual identification.

Keywords:
AIFusion techniquesMultibiometric template protectionMultimodal biometrics

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Area of Science:

  • Biometrics
  • Computer Security
  • Pattern Recognition

Background:

  • Traditional identification methods (PINs, tags) are vulnerable to hacking.
  • Multibiometric systems offer enhanced security over unimodal systems.
  • Hand-based biometrics are a popular choice for multibiometric systems.

Purpose of the Study:

  • To review existing hand-based multibiometric systems.
  • To analyze feature extraction schemes and performance measures.
  • To discuss template protection strategies and future research directions.

Main Methods:

  • Literature review of multibiometric systems and template protection techniques.
  • Analysis of feature extraction methods for hand-based biometrics.
  • Evaluation of performance measures for biometric systems.

Main Results:

  • Identified various feature extraction schemes for hand-based multibiometrics.
  • Reviewed template protection methods including cancelable biometrics and biometric cryptosystems.
  • Highlighted the importance of robust template protection in multibiometric systems.

Conclusions:

  • Multibiometric systems, particularly hand-based ones, show promise for secure identification.
  • Template protection is crucial for mitigating security risks in biometric systems.
  • Further research is needed to address open issues and enhance the security of multibiometric templates.