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Multi-Modal Biometric Access System Using Face, Emotion, and Voice Recognition

  • Unique Paper ID: 175549
  • Volume: 11
  • Issue: 11
  • PageNo: 3058-3063
  • Abstract:
  • The Real-Time Emotion-Based Access Control System has a multi-level authentication system with secure access based on facial recognition, voice, and emotional authentication. It records user’s facial photos, voice samples, and verbal passwords during registration through the use of Automatic Speech Recognition (ASR) technology driven by Whisper, FaceNet for facial recognition, Mel-Frequency Cepstral Coefficients (MFCC) in combination with Support Vector Machine (SVM) for voice recognition, and Multi-task Cascaded Convolutional Networks (MTCNN) for facial detection. Further, the system stores the user's average facial emotion for better verification. On authentication, it verifies facial identity, voice identity, verbal password, and emotional match, hence enhancing security controls. Through AI-driven authentication and emotion-based verification, the system enhances access control and reduces unauthorized entries.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 3058-3063

Multi-Modal Biometric Access System Using Face, Emotion, and Voice Recognition

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UGC Approved
Journal no 47859

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