Race Identification for Face Images

Abstract—Humans are able to process a face in a variety of ways to categorize it by its identity, along with a number of other demographic characteristics, including race, gender, and age. Experimental results are based on a face database containing subjects. Race and gender also play an important role in face-related applications. Experimental results are indicated that participants categorized the race of the face and this categorization drives the perceptual process. A face image data set is collected from Internet, and divided into a training dataset and a test dataset. Experimental results based on a face database containing 250 subjects. The proposed system can also be applied to other image-based classification tasks. Index Terms — race identification, PCA, face recognition I