• DocumentCode
    1576486
  • Title

    A novel method for face recognition using neural networks with optical and infrared images

  • Author

    Surya, D. ; Krishnaveni, R.

  • Author_Institution
    Appl. Electron., Kalaignar Karunanidhi Inst. of Technol., Coimbatore, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The Face recognition is an important and secured way to protect the frauds at everywhere like government agencies are investing a considerable amount of resources into improving security systems as result of recent terrorist events that dangerously exposed flaws and weaknesses in today´s safety mechanisms. Badge or password-based authentication procedures are too easy to hack. Biometrics represents a valid alternative but they suffer of drawbacks as well. In this paper, a neural based algorithm is presented. The dimensionality of face image is reduced by the Linear Discriminant Analysis (LDA) and Haar Wavelet+LDA. To recognize the user based on Neural Network done by Feed Forward Neural Network and Fuzzy Neural Network with Optical and Infrared image. To identify the correct person to improve the detection rate and also to reduce the time complexity.
  • Keywords
    Haar transforms; face recognition; infrared imaging; neural nets; optical images; wavelet transforms; Haar wavelet; LDA; face image dimensionality reduction; face recognition; feed forward neural network; fuzzy neural network; infrared image; linear discriminant analysis; neural based algorithm; neural networks; optical image; Face; Face recognition; Feature extraction; Feeds; Neural networks; Training; Wavelet transforms; Face recognition; Feed Forward Neural Network; Fuzzy Neural Network; Infrared image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6817-6
  • Type

    conf

  • DOI
    10.1109/ICIIECS.2015.7192998
  • Filename
    7192998