Adult image classifiers based on face detection using Viola-Jones method

Abstract

This research consists of a classification system to determine the adult and benign image. Adult image in this research was defined as image that is perceived as pornographic by Indonesian people. The method in this research combines face detection and HS skin color detection on an image. Face detection is done by using the Viola-Jones method. After face detection process, skin detection is performed on the image. Based on the results of face and skin detections, a set of features is extracted and inserted into the classifier. The classification used in determining adult or benign image will be based on the percentage of face area in the image, the position of face in the image, and the percentage of the skin color in the image. For each feature, the threshold value is defined in this research. The results of the classifier is whether an input image is benign or adult images. From 30 sample images, the classification process classifies 5 pieces of images as benign images and 25 images as adult images. False positive rate are 2 images and false negative rate is 1 image with the accuracy of 90%.