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  • "I would like to combined with Eigenvalues face recognition"

    that's already the case. fisherfaces are an extension of eigenfaces ( additional LDA )

  • "what is best in pictures sizes of images and file types ?"

    stick with .png or .pgm, avoid jpg. resize to like 100x100.

  • "I keep getting false predictions"

    make sure, that you're using exactly the same preprocessing for your train and test images. if your test-images are cropped from a cascade face detection, your train images should be, too. applying equalizeHist() should give some gain, too.

    you'll need like 10-30 images per person. allow some variation in pose / lighting

    try the LBPH face recognizer, too.

  • "I would like to combined with Eigenvalues face recognition"

    that's already the case. fisherfaces are an extension of eigenfaces ( additional LDA )

  • "what is best in pictures sizes of images and file types ?"

    stick with .png or .pgm, avoid jpg. resize to like 100x100.

  • "I keep getting false predictions"

    make sure, that you're using exactly the same preprocessing for your train and test images. if your test-images are cropped from a cascade face detection, your train images should be, too. applying equalizeHist() should give some gain, too.

    you'll need like 10-30 images per person. allow some variation in pose / lighting

    try the LBPH face recognizer, too.

    try to control the lighting in the room. if there's a lamp, that ppl can switch on or off; - one half of the pics will be with lamp, and the other without, - remove it ;)