Phonographic image recognition using fusion of scale invariant descriptor

The paper presents a pornographic image recognition using fusion of scale invariant descriptor. The pornographic image means the image contains and shows genital elements of human body having large variability due to poses, lighting, and backgrounds variations. The fusion of scale invariant descriptor that is holistic feature is employed to handle those variability problems. This holistic feature that is pose and scale invariant information of pornographic images is extracted by fusing the scale invariant descriptor of skin region of interests (ROIs) of pornographic images. The skin ROI is used to handle the large variability of pornographic images due to background variations. The main aim of this research finds a good solution for pornographic recognition system, which can be developed to limit the accessing pornographic images by teenagers and children. The experimental results show that the proposed method tends to provide high enough accuracy more than 80%, small enough FNR and FPR bout 2.77% and 28.79%, respectively. It means the proposed method is suitable to develop rejection system of pornographic images. Furthermore, these achievements are much better than the achievements of established methods. This results can be achieved because the fusion of scale invariant descriptor consists rich pornographic information representing holistic feature of pornographic images.