A Multimodel biometric authentication framework using face and voice recognition / Kathrine Clennet D. Alindayu [and four others].

By: Contributor(s): Material type: TextTextPublication details: Manila : National University, 2021.Description: 211 leaves : color illustrations ; 28 cmSubject(s): LOC classification:
  • UGT COE BSCpE .A45 2021
Contents:
Chapter 1. The Problem and its background -- Chapter 2. Review of Related literature and study -- Chapter 3. Project Design and Methodology -- Chapter 4. Results and Discussions -- Chapter 5. Summary, Conclusion and Recommendation -- References.
Summary: A multimodal biometric authentication approach can overcome the limitations of unimodal biometric authentication technology.
Item type: Thesis
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Thesis Thesis National University - Manila LRC - Main Thesis Computer Engineering UGT COE BSCpE .A45 2021 (Browse shelf(Opens below)) c.1 Available UGTHE000002863

Includes bibliographical references.

Chapter 1. The Problem and its background -- Chapter 2. Review of Related literature and study -- Chapter 3. Project Design and Methodology -- Chapter 4. Results and Discussions -- Chapter 5. Summary, Conclusion and Recommendation -- References.

A multimodal biometric authentication approach can overcome the limitations of unimodal biometric authentication technology.

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