Facial Expression Recognition Based on Multi Feature Fusion & HOSVD

Nowadays, security plays the main role in any application, Biometrics is the main feature for security. Face recognition is the main object to provide access for the person. In our proposed method, face recognition is determined by extracting features of LBP and Geometric features. By using these features, we can classify the face of persons with Artificial Neural Network (ANN) techniques. In our method, We use a random network technique to classify the face by using extracted features. In the existing method, the MULTISVM ANN technique is used to determine face recognition. But our proposed method, the random network has more accuracy in detection than the existing method.

Keywords: Face Recognition, ANN, Random Network, MULTISVM.