Face Recognition using Eigenvector and Principle Component Analysis

@article{Chakraborty2012FaceRU,
  title={Face Recognition using Eigenvector and Principle Component Analysis},
  author={Dulal Chakraborty and Sanjit Kumar Saha and Md. Al-Amin Bhuiyan},
  journal={International Journal of Computer Applications},
  year={2012},
  volume={50},
  pages={42-49}
}
Face recognition is an important and challenging field in computer vision. [] Key Method Various symmetrization techniques are used for preprocessing the image in order to handle bad illumination and face alignment problem. We used Eigenface approach for face recognition. Eigenfaces are eigenvectors of covariance matrix, representing given image space. Any new face image can then be represented as a linear combination of these Eigenfaces. This makes it easier to match any two given images and thus face…
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10 Citations
Background Citations
3
Methods Citations
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10 Citations

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