K-medoids Clustering Using Partitioning around Medoids for Performing Face Recognition

@inproceedings{Bhat2014KmedoidsCU,
  title={K-medoids Clustering Using Partitioning around Medoids for Performing Face Recognition},
  author={Aruna Bhat},
  year={2014}
}
Face recognition is one of the most unobtrusive biometric techniques that can be used for access control as well as surveillance purposes. Various methods for implementing face recognition have been proposed with varying degrees of performance in different scenarios. The most common issue with effective facial biometric systems is high susceptibility of variations in the face owing to different factors like changes in pose, varying illumination, different expression, presence of outliers, noise… CONTINUE READING
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