• DocumentCode
    2150278
  • Title

    Multi-Modal Identity Verification Based on Improved BP Neural Network

  • Author

    Luan, Fang-Jun ; Li, Kai ; Ma Si-liang

  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Back propagation neural network, as a method of data fusion technology, has been used in many common fields widely. In this paper, back propagation neural network based on binary full codes has been presented. Traditional back propagation method may classify the data as a good result, but it does not recognize the untrained data exactly. Back propagation neural network based on binary full codes method can solve this problem with mapping the float data into binary space using multi-modal on feature level fusion. The result of experiment proves that this algorithm obtains a good verification effect.
  • Keywords
    backpropagation; binary codes; biometrics (access control); pattern classification; sensor fusion; back propagation neural network; binary full codes; biometrics; data classification; data fusion technology; feature level fusion; multimodal identity verification; Artificial neural networks; Biometrics; Control engineering; Data mining; Feedforward systems; Fingerprint recognition; Forgery; Multi-layer neural network; Neural networks; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5303909
  • Filename
    5303909