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Multimodal biometric authentication system leveraging optimally trained ensemble classifier using feature-level

Khushboo Jha1, Aruna Jain1, Sumit Srivastava1

  • 1Department of Computer Science and Engineering, Birla Institute of Technology Mesra, Jharkhand, India.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|July 31, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a Multimodal Biometric System (MBS) for enhanced cybersecurity, fusing facial and speech features for accurate, convenient authentication. The contactless system offers superior security over traditional methods.

Keywords:
Ensemble classifierface recognitionfeature level fusionimproved manta ray foraging optimizationmultimodal biometric systemsecurity and privacyspeaker recognition

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Area of Science:

  • Cybersecurity and Biometrics
  • Human-Computer Interaction
  • Digital Security

Background:

  • Increasing cyber threats necessitate advanced authentication beyond passwords and unimodal biometrics.
  • Secure digital platforms are crucial for daily activities like finance and e-commerce.
  • Traditional methods lack the robustness to counter sophisticated cyberattacks.

Purpose of the Study:

  • To develop a Multimodal Biometric System (MBS) for enhanced cybersecurity.
  • To improve authentication security, accuracy, and user convenience.
  • To address limitations of existing authentication methods.

Main Methods:

  • Feature-level fusion of facial (physiological) and speech (behavioral) traits.
  • Ensemble classification model combining Bi-LSTM and DCNN.
  • Optimization using the Manta Ray Foraging Optimization (MRFO) algorithm.

Main Results:

  • Achieved 98.23% accuracy on Voxceleb1 and 97.92% on VidTIMIT datasets.
  • Obtained low Equal Error Rates (EERs) of 3.23% and 3.62%.
  • Demonstrated superior performance compared to conventional optimization techniques and existing MBS.

Conclusions:

  • The proposed contactless MBS offers a robust, non-intrusive authentication solution.
  • Enables seamless, real-time biometric data acquisition via standard devices.
  • Provides a viable option for high-cyber-resilience applications like banking and e-commerce.