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Recognizing Faces helps to name the various subjects present in the image. This work focuses
on labeling faces on an image which includes faces of humans being of various age group
(heterogeneous set ). Principal component analysis concentrates on finds the mean of the data
set and subtracts the mean value from the data set with an intention to normalize that data.
Normalization with respect to image is the removal of common features from the data set. This
work brings in the novel idea of deploying the median another measure of central tendency for
normalization rather than mean. The above work was implemented using matlab. Results show
that Median is the best measure for normalization for a heterogeneous data set which gives
raise to outliers.
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