Performance evaluation of subspace methods to tackle small sample size problem in face recognition

@inproceedings{Kumar2012PerformanceEO,
  title={Performance evaluation of subspace methods to tackle small sample size problem in face recognition},
  author={Nitin Kumar and Ajay Jaiswal and R. K. Agrawal},
  booktitle={ICACCI},
  year={2012}
}
Linear Discriminant Analysis (LDA) has been one of the popular subspace methods for face recognition. But this method suffers from the small sample size (SSS) problem, also known as 'curse of dimensionality'. Various techniques have been proposed in literature to overcome this limitation. But it is still unclear which method provides the best solution to… CONTINUE READING