Research on Optimizing Face Recognition Algorithm Based on Adaboost Algorithm

Face detection and recognition technology has always been a hot research direction, face detection and recognition technology has received extensive attention from society. The detection and recognition rate and running speed of the face detection and recognition system directly affect the user’s experience, so it is very important to realize a fast and accurate face detection and recognition system. The adaboost method uses a set of classifiers (also called decision trees), which are trained for different subsets of data points (called splits).