This paper presents an algorithm for designing a system that classifies standard
human facial expressions which are fear, disgust, sad , surprise, anger, happiness, and the
normal expression . The facial expression that is presented in the input im
age of the system
can be classified depending on extracting appearance features then, it is entered into
neural network to complete the classification process using Matlab as a programming
language.
Multiple stages completed the work, which are, (collection images, pre-processing of
the images, feature extraction, training neural network, classification and testing). Our
system has been able to achieve the highest rating when the expression of anger reached
100 %, while the lowest rating was at the expression of sad by 30%.