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My new code also does better image preprocessing & rotation than the code on this page, but the book code doesn't have an offline recognition mode.

You should read the official Face Recognizer tutorials or use my new code instead of this page, and read Chapter 8 of the Mastering Open CV book if you want to understand how it works.

Most face recognition algorithms are extremely sensitive to lighting conditions, so that if it was trained to recognize a person when they are in a dark room, it probably wont recognize them in a bright room, etc.

So you could do this in your program for face detection: Now that you have detected a face, you can use that face image for Face Recognition.

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First I will explain how to implement Eigenfaces for offline training from the command-line, based on the Servo Magazine tutorial and source-code (May 2007).

Once I have explained to you how offline training and offline face recognition works from the command-line, I will explain how this can be extended to online training directly from a webcam in realtime :-) As mentioned above, the first stage in Face Recognition is Face Detection.

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