As computers and Internet become more and more available to families, access of objectionable graphics by children is increasingly a problem that many parents are concerned about. This paper describes WIPETM Wavelet Image Pornography Elimination, a system capable of classifying an image as objectionable or benign. The algorithm uses a combination of an icon lter, a graph-photo detector, a color histogram lter, a texture lter, and a wavelet-based shape matching algorithm to provide robust screening of on-line objectionable images. Semantically-meaningful feature vector matching is carried out so that comparisons between a given on-line image and images in a pre-marked training data set can be performed e ciently and e ectively. The system is practical for real-world applications, processing queries at the speed of less than 2 seconds each, including the time to compute the feature vector for the query, on a Pentium Pro PC. Besides its exceptional speed, it has demonstrated 96 sensit...