Abstract
Humans are able to process a face in a variety of
ways to categorize it by its identity, along with a number of
other demographic characteristics, including race, gender ,
and age. Experimental results are based on a face database
containing subjects. Race and gender also play an important
role in face-related applications. Experimental results are
indicated that participants categorized the race of the face
and this categorization drives the perceptual process. A face
image data set is collected from Internet, and divided into a
training dataset and a test dataset. Experimental results based
on a face database containing 250 subjects. The proposed
system can also be applied to other image-based classification
tasks.
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