An enhanced face recognition technique based
on Overlapped Modular PCA approach for
cropped Log-polar images
International Journal on Signal & Image Processing, 1 (2):
5 (July 2010)Abstract
An algorithm for human face
recognition, which is based on Overlapped Modular
Principal Component Analysis Approach on the
Cropped Log-polar images, is presented in this
paper. In this technique all the image are divided
into sub-images called modules and to avoid loss of
features at division lines, overlapped sub-images are
taken through the division lines. This method is
applied on the Cropped Log-polar images. In this
method all the images are converted into log-polar
form and from all those transformed images only
the facial areas are extracted and they are called as
cropped log-polar images. Since some local features
do not vary with orientations, poses and
illumination variations it is expected that the
proposed method is capable to cope up with these
variations. Recognition Rates from experimental
results show the superiority of the present method
over Modular PCA and the conventional PCA
methods in tackling face images with different
orientations, pose variations and changes in
illuminations.