In this paper the obscene images first primarily recognizes through the human skin color detection and key point model matching. The other images that are not confirmed extract characteristic of obscene images through edge detection, posture estimation and wavelet compression, and then recognized using the optimizing broaden weighted fuzzy neural network, which is called two-phase recognizing method. The experiment indicates the method that this paper present can recognize the obscene images effectively. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Liu, X., Yu, Z., Zhang, L., Liu, M., Zhou, C., Li, C., … Zhang, L. (2005). Obscene image recognition based on model matching and BWFNN. In Lecture Notes in Computer Science (Vol. 3497, pp. 298–303). Springer Verlag. https://doi.org/10.1007/11427445_48
Mendeley helps you to discover research relevant for your work.