• DocumentCode
    606128
  • Title

    Multimodal biometric approach using fingerprint, face and enhanced iris features recognition

  • Author

    Ravi, Siddarth ; Mankame, Dattatreya P.

  • Author_Institution
    Department of Computer Science, Pondicherry University, Puducherry, India
  • fYear
    2013
  • fDate
    20-21 March 2013
  • Firstpage
    1143
  • Lastpage
    1150
  • Abstract
    For the last decade of year major promotions have propelled in various biometric techniques. This paper outlines a review on various biometric authentication modalities, their merits and demerits. It also discusses comparative analysis of biometric advancement in the face, fingerprint recognition, iris feature areas. To overwhelm the weakness of the Unimodal Biometric techniques, there is destitution of Multimodal biometric techniques. This paper also states a few multimodal biometric techniques and their pitfalls. This survey follows as a consequence and specified way the importance of a strong multimodal biometric technique using face, fingerprint recognition and enhanced iris features.
  • Keywords
    Biomedical imaging; Face recognition; Image recognition; Image resolution; Propulsion; Biometrics; Face Recognition; Finger Print; Iris Features; Multimodal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on
  • Conference_Location
    Nagercoil
  • Print_ISBN
    978-1-4673-4921-5
  • Type

    conf

  • DOI
    10.1109/ICCPCT.2013.6528884
  • Filename
    6528884