Results: Recognition of Facial Expression by Digital Image Processing

Praphull S. Sonone, Manjusha M. Patil

local binary pattern (LBP), feature extraction, distribution, pattern recognition, histogram, feature vector.

Facial expression is one of most important behavioral measure for studies of emotion, cognitive processes, and social interaction. Facial expression recognition has become a promising research area. Its applications in many areas like human-computer interfaces, human emotion analysis, and medical care and cure. Automatic facial expression recognition is an interesting and challenging subject in digital signal processing, pattern recognition, artificial intelligence, etc. In this paper use a new method of facial expression recognition based on local binary patterns (LBP). The LBP features are firstly extracted from the original images of facial expression then face area is divided into small parts from which Local Binary Pattern (LBP) histograms are extracted into a single, spatially enhanced feature histogram efficiently representing the face image.

10.22161/ijaers/3.10.38