• DocumentCode
    3736338
  • Title

    Multimodal biometric authentication based on voice, face and iris

  • Author

    Tudor Barbu;Adrian Ciobanu;Mihaela Luca

  • Author_Institution
    Institute of Computer Science of the Romanian Academy, Iasi, Romania
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A multimodal biometric system is proposed in this paper. Our multimodal biometric authentication solution is based on three identifiers: iris, voice and faces. A mel-cepstral voice recognition is described first. Then, face authentication is approached by using SIFT-based features. Next, LAB-based iris recognition approach is proposed. The biometric fusion is performed at the level of the decision module.
  • Keywords
    "Iris recognition","Face","Training","Face recognition","Speech recognition","Speech","Authentication"
  • Publisher
    ieee
  • Conference_Titel
    E-Health and Bioengineering Conference (EHB), 2015
  • Print_ISBN
    978-1-4673-7544-3
  • Type

    conf

  • DOI
    10.1109/EHB.2015.7391373
  • Filename
    7391373
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3736338