• DocumentCode
    2259752
  • Title

    A Gray-Scale Face Recognition Approach

  • Author

    Wang, Weihua ; Wang, WeiFu

  • Author_Institution
    Sch. of Comput., Chongqing Univ. of Arts & Sci., Chongqing
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    395
  • Lastpage
    398
  • Abstract
    Face recognition has been a focus in research for the last couple of decades because of its wide potential applications and its importance to meet the security needs of today´s world. However, the network is very complex and therefore it is difficult to train. To reduce complexity, neural network is often applied to the pattern recognition phase rather than to the feature extraction phase. In order to cope with such complication and find out the true invariant for recognition, researchers have developed various recognition algorithms. In this paper, we give a new face recognition algorithm based on gray-scale. The paper shows the readers the basic principle of this face recognition algorithm, the implement of the new face recognition approach, the advantage of the new algorithm, and shows higher recognition rate than eigenface algorithm in the same experiment conditions according to our practices.
  • Keywords
    face recognition; feature extraction; eigenface algorithm; feature extraction; gray-scale face recognition approach; neural network; pattern recognition; Application software; Face detection; Face recognition; Feature extraction; Gray-scale; Image converters; Image recognition; Neural networks; Pattern recognition; Pixel; Eigenface Algorithm; Face Recognition; Gray-Scale;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.101
  • Filename
    4739602