Face Recognition Using Neural Network Based Fourier Gabor Filters & Random Projection
2011
Face detection and recognition has many applications in a variety of fields such as authentication, security, video surveillance and human interaction systems. In this paper, we present a neural network system for face recognition. Feature vector based on Fourier Gabor filters is used as input of our classifier, which is a Back Propagation Neural Network (BPNN). The input vector of the network will have large dimension, to reduce its feature subspace we investigate the use of the Random Projection as method of dimensionality reduction. Theory and experiment indicates the robustness of our solution.
Keywords:
- Correction
- Cite
- Save
- Machine Reading By IdeaReader
14
References
17
Citations
NaN
KQI