Text Steganography in Statistically Clustered Iris Image

Neamah, Irtefaa A. and Mohammed, Hind Rustum (2020) Text Steganography in Statistically Clustered Iris Image. EAI Endorsed Transactions on Energy Web, 8 (33). e8. ISSN 2032-944X

[thumbnail of eai.18-11-2020.167100.pdf]
Available under License Creative Commons Attribution No Derivatives.

Download (2MB) | Preview


The hiding text within the iris to increase the data protection method is discussed in this work. It is impossible to distinguish between the iris image before and after concealment, and the difference between the two images only after using statistical measures such as PSNR and MSR to compare them. The proposed database consists of 500 images with different formats (tif, gif, png, jpg, .bmp) selected for analysis. The proposed method is shown with more accurate results, stronger image encoding, and high-efficiency text protection using performance evaluation factors to assess business standards. The success of hiding high-text ratios proved successful. Experimental results were shown based on a statistical strategy, and that the text was converted into two random variables, X and Y, which were distributed to Asia. Then, the random variables' data were included in the iris segment, cut-off, and iris' clustered image. It appears that the use of our proposed scheme can include sufficient data in the image of the iris that maintains the accuracy of the identification.

Item Type: Article
Uncontrolled Keywords: Steganography, PNSR, MSE, Clustered Image, Iris Image
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 09 Jul 2021 08:28
Last Modified: 09 Jul 2021 08:28
URI: https://eprints.eudl.eu/id/eprint/4359

Actions (login required)

View Item
View Item