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Like guanta suggested, fisherfaces and eigenfaces do their work, but lately more interesting algorithms have been released for matching known images to a new input image (basically what you do in face recognition).

Also 80 images is not much. Indeed you get marginal increases, but getting like 1000 images of each reference face, in all kind of circumstances, yields better results. You should vary your data, different lighting, different moods, different facial hair conditions, ... It is an exhaustive piece of work to get a robust system.