Robust Face Detection Using Uniform Local Gradient Pattern (ULGP) and AdaBoost Algorithm

Facial feature detection has been applied in many devices, such as cameras, smartphones, and CCTV. Most importantly, face detection should detect a face without a significant effect from external factors, such as changes in lighting, background, and so on. In this study, to be robust against external factors and to select the pattern, we propose a specified accuracy that is a better algorithm. The proposed algorithm is used to extract facial features from the LGP algorithm robust to external factors when detecting facial features. The facial features are the eyes, nose, and mouth, thereby learning by specifying a pattern. Using the training set a face is detected.