• DOI:10.5120/7811-0947
Corpus ID: 8695908

Face Recognition using Eigenvector and Principle Component Analysis

@article{Chakraborty2012FaceRU,
  title={Face Recognition using Eigenvector and Principle Component Analysis},
  author={D. Chakraborty and S. Saha and M. Bhuiyan},
  journal={International Journal of Computer Applications},
  year={2012},
  volume={50},
  pages={42-49}
}

• D. Chakraborty, S. Saha, M. Bhuiyan
• Published 2012
• Computer Science
• International Journal of Computer Applications

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…Expand

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