A new fast system for objectionable image identification based on shape features
Yan-yan Sun, Qiuqi Ruan · 2008
The paper introduces a new system for objectionable image identification based on shape feature extraction. The system targets 82% of the objectionable nude pictures and wrongly classifies 6.98% of the normal images. The processing speed is 0.115s per common image and 0.31s per pornographic image. The training and testing datasets of benign images are open libraries. The performance of the system is fairly good.