As shown in Table III, face recognition algorithms cannot handle
global facial plastic surgery such as skin resurfacing and full
face lift. With 10 times cross validation, the performance of
recognition algorithms varies in the range of 18-54% which
is not acceptable in real world applications. In most of the
test cases, for global surgery, differences between pre and post
surgery images of the same individual is very large. In other
words, facial features and texture are drastically altered after
surgery and hence the algorithms do not yield good performance.
For some test cases of skin resurfacing that have relatively
closer resemblance in pre and post surgery images, most of the
recognition algorithms are able to perform correct classification.
However, with major skin resurfacing such as surgeries to look
younger, none of the algorithms are able to correctly classify the
faces. Dermabrasion is another important and common surgical
procedure that affects the face recognition performance.