The Mask-SIFT cascading classifier for pornography detection

Pornography detection using the Scale Invariant Feature Transform (SIFT) has been shown effective in identifying pornographic images. By including automated Gaussian skin masking for feature isolation, classifier performance is significantly improved. Similarly, utilizing a cascading classifier that pre-filters images based on size and skin percentage further improves precision and recall with a substantial increase in classification speed.