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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.
Peerj. Computer Science
|October 29, 2021
Summary
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.
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.
