Face Recognition Using a Fuzzy Approach and a Multi-agent System from Video Sequences

Face recognition systems in a video sequence constitute an essential technical tool in several domains. To classify the faces in minimal time, the classic methods of classification being inadequate, fuzzy logic is considered as an effective technique for solving a classification problem. This article proposes a fuzzy approach for detection and face recognition in video sequences using a multi-agent modeling. This method contains several steps to classify the faces detected in the video. The multi-agent approach that is adopted allows minimizing the complexity of the processing and getting to the result with minimal time. The tasks of detection and classification of face are realized in two steps. In the first step, faces are detected using texture color and geometrical face. In the second step, the multi-agent system and fuzzy approach are used in the recognition process to find the degrees of membership. The results obtained using this method demonstrates performance in terms of robustness, in the variations illumination and speed.