Main Article Content
Face recognition is one of the most attractive and challenging topics in the fields of pattern recognition used in many biometric security applications. In this research, we use Two Dimensional Discrete Wavelet Transform (2D-DWT) to decompose face image for extracting features and Principle Component Analysis (PCA) for dimensional reduction of these features. For classification, we use ANFIS technique which is a combination between Fuzzy Inference System and Neural Network, Furthermore, we implemented Back Propagation Neural Network for the extracted features to compare its efficiency with ANFIS. Implementing proposed work get a best recognition rate and less computation where the recognition rate increases until it reaches maximum value (96%).