Using Amino Acids of Images for Identifying Pornographic Images

摘要

The pornographic images need to be regulated as they can have an adverse effect on the society. This paper purposes an image amino acid-based method to identify a pornographic image. The proposed method works by converting an image into biological amino acid form (e.g., to A, C, D, G, H, etc. form) and then extracting a signature from the image (which is represented in amino acid form) using biological tools. Using this method, a number of signatures are obtained from a set of few known pornographic images. These signatures are then matched against a database of images to find out the pornographic images. The matching is done using the openly available anti-virus scanner Clamscan. Here, the signatures obtained from the pornographic images are represented as signatures of viruses. The experimental result shows that the proposed method can identify a pornographic image with a high detection rate.