Description: Human face contains a variety of information for adaptive social interactions amongst people. In fact, individuals 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, such as gender, ethnicity, and age. In particular, recognizing human gender is important since people respond differently according to gender. In addition, a successful gender classification approach can boost the performance of many other applications, including person recognition and smart human-computer interfaces.
File list (Check if you may need any files):
trainsystem.p
readme.m
sourcecode.m
addtodatabase.p
findfeatures.p
genderrec.p
genderrecognition.p
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