Face recognition based on local directional number pattern and ANFIS classifier

In this work, an efficient algorithm for face recognition using a local feature descriptor, Local Directional Number Pattern (LDN) and Soft Computing Technique, Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is presented. Firstly, the face image is subjected to a Kirsch compass mask that gives the directional information of the image. With the help of masked output Local Directional Number Pattern (LDN) code is computed. The LDN image is divided into several regions and the distribution of the LDN features is extracted from them. These features are then concatenated into a feature vector, which is used for ANFIS training and classification. The experimental evaluation of the presented method is carried out using Japanese Female Facial Expression Database (JAFFE) and Indian Face Database (IFD). The results obtained from the experiments prove that the presented method successfully recognize the faces under pose and facial expression variations.