Face detection using TSK-type fuzzy cerebellar model articulation controller network

Face detection is a topic concerning businesses that use security surveillance systems, and accurate detection is critical for the subsequent analysis of images used in facial recognition. In this study, we propose a face-detection method that involves using lighting compensation, skin-color analysis, and a TSK-type fuzzy cerebellar model articulation controller (TSK-type FCMAC) network. The proposed TSK-type. FCMAC network has some advantages, such as include its fast rapid learning property, good generalization generalizaMlity capability, easy to ease of implementation, and small lower required computing computer-memory requirements. Our experimental results confirm that the proposed method outperforms other models and effectively overcomes the problems of face variation and complex backgrounds.