Face Recognition using Active Appearance and Type-2 Fuzzy Classifier

Abstract

: Face recognition in unrestrained surroundings has turn out to be more and more prevalent in numerous applications, namely, intelligent visual surveillance, immigration automated clearance system and identity verification systems. The conventional pipeline of a contemporary face recognition system usually consists of face alignment, face detection, feature classification, and representation. In this paper, the input images for face recognition are subjected to feature extraction using Active Appearance Model (AAM). In addition, Type 2- Fuzzy classifier is adopted for classifying the images. Moreover, the proposed scheme is compared with Neural Network, k-NN (Nearest Neighbor) and Type 1-Fuzzy classifiers and the results are obtained.