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Face verification and recognition are two different problems. Recognition is a multi-class problem where the goal is to assign the test image a known label from the database while verification is a binary problem where you need to say whether the given two images are similar or not.
OpenCV fisher faces is aimed at recognition and always assigns the test image a label from the database. However, it may not perform well on verifying unknown faces since the fisher face algorithm needs the training samples of all the subjects.
Face verification is getting lot of attention these days. Many algorithms are introduced in the last few years and tested on challenging LFW dataset. I would advice you to take a look at implementations available at http://vis-www.cs.umass.edu/lfw/results.html
