SYSTEM AND METHOD FOR RECOGNIZING IMAGES USING T-TEST

摘要

Disclosed herein is a system and method for recognizing images using t-tests. The system includes an image recognition module, an image normalization module, an image pre-processing module, an image situation classification module, an image situation recognition module, and a recognizer fusion module. The image recognition module loads face images. The image normalization module normalizes the loaded face images. The image pre-processing module removes noise from the normalized face images and generates vector data. The image situation classification module classifies image situations into a user-specified number of types through clustering using a K-average clustering method. The image situation recognition module calculates the average values of the classified image situations based on the image situations and center points using the Euclidean distance formula, and recognizes the image situations. The recognizer fusion module selects recognizers suitable for the individual image situations through classification of the recognizers using t-tests based on the recognized image situations.