Face Recognition Using Neural Networks and Pattern Averaging

  • Adnan Khashman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)


The human ability to recognize objects has not so far been matched by intelligent machines. This is more evident when it comes to recognizing faces, where a quick human “glance” is sufficient to recognize a “familiar” face. Face recognition has recently attracted more research aimed at developing reliable recognition by machines. Current face recognition methods rely on detecting certain features within a face and using these features for face recognition. This paper introduces a novel approach to face recognition by simulating our ability to recognize “familiar” faces after a quick “glance” using pattern averaging and neural networks. A real-life application will be presented throughout recognizing the faces of 30 persons. Time costs and the neural network parameters will be described, in addition to future work aimed at further improving the developed system.


Neural Network Face Recognition Linear Discriminant Analysis Recognition Rate Face Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Adnan Khashman
    • 1
  1. 1.Department of Electrical & Electronic EngineeringNear East UniversityLefkosa, North CyprusTurkey

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