Face Identification based on
Biological Trait using Infrared Images after Cold Effect Enhancement and
Sunglasses Filtering
Raheel
Siddiqui Muhammad Sher Khalid
Rashid
Department of Computer Science, International Islamic
University, H-10,
tigerraheel@yahoo.com msher313@iiu.edu.pk drkhalid@iiu.edu.pk
ABSTRACT
This
paper describes face identification using infrared images and eigenfaces after
passing test face through cold effect enhancement and/or sunglasses filtering
algorithms and handling facial hair through threshold. Eigenface technique
after modification is used to define our eigenspace. Test image before going
through the recognition process has to pass through a check to see whether it
is a face image or not. The test face is passed through an algorithm to check
and enhance if the person come from cold and then is projected to eigenspace to
find the match. If match is not found then it is passed through another
algorithm to check whether person has worn sunglasses and if so the image is
enhanced in order to make recognition more efficient. Only one person of the
test sets is recognized wrongly with the other but both of them belongs to the
training set and it gives 100% accurate results for profile images.
Keywords
Cold effect enhancement, Infrared images, Principle Component Analysis, Sunglasses filtering, Threshold.