• DocumentCode
    3252322
  • Title

    A Back Propagation Network for face identification and localization

  • Author

    Sarker, Goutam

  • Author_Institution
    Comput. Sci. & Eng. Dept., NIT Durgapur, Durgapur, India
  • fYear
    2011
  • fDate
    21-23 Dec. 2011
  • Firstpage
    24
  • Lastpage
    29
  • Abstract
    The entire process of face detection, identification and localization of faces should preferably be almost orientation or rotation invariant. The present paper aims to design one optimal Back Propagation (BP) Network model to perform these face identification tasks. The task is partially independent of orientation or rotation of the faces in the image. Also the identification rate of the faces is quiet moderate.
  • Keywords
    backpropagation; face recognition; neural nets; BP; back propagation network; face detection; face identification; face localization; Biological neural networks; Databases; Face; Face detection; Humans; Pattern recognition; Training; ANN; BP Network; Detection Rate; Face Detection; Face Identification; False Positive and False Negative; Identification Rate; Machine Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Trends in Information Systems (ReTIS), 2011 International Conference on
  • Conference_Location
    Kolkata
  • Print_ISBN
    978-1-4577-0790-2
  • Type

    conf

  • DOI
    10.1109/ReTIS.2011.6146834
  • Filename
    6146834
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3252322