Using Amino Acids of Images for Identifying Pornographic Images
- Publication Type:
- Conference Proceeding
- Citation:
- Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019, 2019, pp. 9 - 14
- Issue Date:
- 2019-04-22
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| Using amino acids of images for identifying pornographic images.pdf | Published version | 253.07 kB |
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© 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.
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