• DocumentCode
    685709
  • Title

    Face detection using genetic based SIFT algorithm

  • Author

    Mishra, Debahuti ; Chugh, Shaila

  • Author_Institution
    Inf. Technol., Samrat Ashok Technol. Inst., Vidisha, India
  • fYear
    2013
  • fDate
    12-14 Dec. 2013
  • Firstpage
    276
  • Lastpage
    281
  • Abstract
    Face detection is a technique of detecting any face from a set of images. Face can be detected on the basis of features of the face such as pose, height, width etc. Although there are various techniques implemented for the detection of faces such as face detection using neural networks, but the features extracted using neural network is not sufficient and has low accuracy. Hence in this paper an efficient proposed technique is implemented using genetic algorithm and SIFT algorithm. Genetic algorithm is first applied and then SIFT algorithm is applied for the feature extraction which may result in a better accuracy.
  • Keywords
    face recognition; feature extraction; genetic algorithms; neural nets; object detection; principal component analysis; transforms; PCA; face detection; face recognition system; feature extraction; genetic based SIFT algorithm; neural networks; principal component analysis; scale invariant feature transform; Accuracy; Face; Face detection; Face recognition; Feature extraction; Genetic algorithms; Neural networks; Face recognition; Genetic algorithm; PCA; Sift feature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing, Communication and Conservation of Energy (ICGCE), 2013 International Conference on
  • Conference_Location
    Chennai
  • Type

    conf

  • DOI
    10.1109/ICGCE.2013.6823444
  • Filename
    6823444