AB - © 2019 IEEE. 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. AU - Naidu, V AU - Narayanan, A AU - Mohanty, M DA - 2019/04/22 DO - 10.1109/MIPR.2019.00010 EP - 14 JO - Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019 PY - 2019/04/22 SP - 9 TI - Using Amino Acids of Images for Identifying Pornographic Images Y1 - 2019/04/22 Y2 - 2024/03/28 ER -