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Mutual dependency of features in multimodal biometric systems

  • Published:2015-02 Issue:3 Volume:51 Page:234-235
  • ISSN:0013-5194
  • Container-title:Electronics Letters
  • language:en
  • Short-container-title:Electron. lett.

Author:

Yang Wencheng1,Hu Jiankun1,Wang Song2,Chen Chi3

Affiliation:

1. School of Engineering and Information TechnologyUniversity of New South WalesCanberra2600Australia

2. School of Engineering and Mathematical SciencesLaTrobe UniversityMelbourne3086Australia

3. State Key Laboratory of Information SecurityInstitute of Information Engineering, CASBeijingPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Reference9 articles.

1. Multibiometric Template Security Using Fuzzy Vault

2. Multibiometric Cryptosystems Based on Feature-Level Fusion

3. Hybrid multimodal template protection technique using fuzzy extractor and random projection;Karthi G.;Int. J. Res. Comput. Commun. Technol.,2013

4. The complete Gabor‐fisher classifier for robust face recognition;Vitomir Š.;EURASIP J. Adv. Signal Process.,2010

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1. Improved Multimodal Biometric Security: OAWG-MSVM for Optimized Feature-level Fusion and Human Authentication;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03

2. A Review of Homomorphic Encryption for Privacy-Preserving Biometrics;Sensors;2023-03-29

3. Analysis of Score Level Fusion of Biometric Features;International Journal of Electrical and Electronics Research;2022-06-30

4. Efficient palmprint biometric identification systems using deep learning and feature selection methods;Neural Computing and Applications;2022-03-14

5. A multimodal biometric system using match score and decision level fusion;International Journal of Information Technology;2022-01-20
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