In this paper, we extend Fisherface for face recognition

from one example image per son. Fisherface is one of

the most successful face recognition methods. However,

Fisherface requires several training images for each face,

so it cannot be applied to the face recognition applications

where only one example image per person is available for

training. To tackle this problem, we extended the

Fisherface method by proposing a method to derive

multiple images of a face from one single image.

Fisherface is then trained on these derived images.

Experimental results on Bern face database and our 350

subjects database show that our method makes impressive

performance improvement compared with the

conventional Eigenfaces and template matching techniques-In this paper, we extend Fisherface for face recognition

from one example image per person. Fisherface is one of

the most successful face recognition methods. However,

Fisherface requires several training images for each face,

so it cannot be applied to the face recognition applications

where only one example image per person is available for

training. To tackle this problem, we extended the

Fisherface method by proposing a method to derive

multiple images of a face from one single image.

Fisherface is then trained on these derived images.

Experimental results on Bern face database and our 350

subjects database show that our method makes impressive

performance improvement compared with the

conventional Eigenfaces and template matching techniques