LITERATURE SURVEY OF AUTOMATIC FACE RECOGNITION ...

CHAPTER XVI
CONCLUSION
The approach is definitely robust, simple, and easy and fast to implement
compared to other algorithms. It provides a practical solution to the recognition
problem. We are currently investigating the system to deal with a range of
aspects like defining a small number of face classes of each person
corresponding to their characteristics. We are going to implement a GUI for our
software.
An intelligent system should have an ability to learn or have ability to
adapt over time. When an image is sufficiently close to the face space but not a
known face, the system marked it as an unknown face. Computer stores the
unknown face’s pattern vector of the corresponding image. Further these types of
vector are cluster in the space, the presence of new but unknown face is
postulated.
Further more if the image is noisy one, then the performance is not very
accurate, it degrades gradually. We should give focus on this problem also, how
to deal with a noisy image or how can we remove noise from the image.
57