Neuro-fuzzy inference system based face recognition using feature extraction

Artificial neural networks (ANN) were used widely for constructing intelligent computer systems based on image processing and pattern recognition [4]. The proposed system consist of two stages: first stage face recognition by using NN and second stage is to evaluate the performance of the proposed algorithm with fuzzy system. 2.FACE RECOGNITION TECHNIQUES The main steps to face recognition are; extracting the features from the images, store features in data base, design NN, train feature on network, and test the old and new data NN. 2.1. In FL the idea of fractional truth has been used, where the range could be fully false and fully true. [...]a specific functions may be used to manage linguistic variable. In the first stage, the set of images are training to supply the data to network. [...]the designing structure of input required the identical row from the image matrix as shown in Figure 2.