Abstract
This paper proposes a system gives for explicit content image detection based on Computer Vision Algorithms, pattern recognition and FTK software Explicit Image Detection. In the first stage, HSV color model is used for the input images for the purpose of discriminating elements that are not human skin images. Then the image is filtered using skin detection. The output image only contains the areas of which it is composed. The results show a comparison between the proposed system and the company software Access Data called Forensic Toolkit 3.1 Explicit Image Detection isperformed.
Highlights
With the development of Internet, dramatically falling costs of data storage and advances in coding technology are generating a dazzling array of photography, animation, graphics sound and video [1]
A neural network based adult image classification, Jiann-Shu Lee et al.[10]proposed an algorithm to naked image detection based on adaptive and extensible skin color model
First the input image is transformed from the RGB to the HSV color model
Summary
With the development of Internet, dramatically falling costs of data storage and advances in coding technology are generating a dazzling array of photography, animation, graphics sound and video [1]. Nowadays it is easy to have access to a computer with an Internet connection where there is currently a large amount of adult images for free downloading. This kind of media is available for children and is an increasingly problem for many parents. There are some others programs which detect pornographic images within the computer such as: SurfRecon that offers a program for this purpose, and despite being a tool of computer forensic, helps to detect images with explicit content. A neural network based adult image classification, Jiann-Shu Lee et al.[10]proposed an algorithm to naked image detection based on adaptive and extensible skin color model.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
