Fuzzy Model For Human Face Expression Recognition

Abstract

Facial expression recognition plays a vital and effective role within the interaction between man and computer. In this project, brand new system supported the mathematical logic is projected for this purpose. Fuzzy is one helpful approach for fuzzy classification, which might verify the intrinsic division in an exceedingly set of untagged knowledge and notice representatives for undiversified teams. This method acknowledges seven basic facial expressions particularly concern, surprise, happy, sad, disgust, Neutral and anger. For description of detail face facial features, Face Action writing (FACS) was style. First, we tend to gift a unique methodology for facial region extraction from static image. For determination of face effective areas is employed from integral projection curves. This methodology has high ability in intelligent choice of areas in facial features recognition system. Extracted face expression fed to fuzzy rule based mostly system for facial features recognition. Results of tests indicate that the projected theme for facial features recognition is powerful, with smart accuracy and generating superior results as compared to different approaches.
DOI: 10.17762/ijritcc2321-8169.150528