Image authentication using LBP-based perceptual image hashing | ||
| Journal of AI and Data Mining | ||
| مقاله 3، دوره 3، شماره 1، خرداد 2015، صفحه 21-30 اصل مقاله (875.2 K) | ||
| نوع مقاله: Original/Review Paper | ||
| شناسه دیجیتال (DOI): 10.5829/idosi.JAIDM.2015.03.01.03 | ||
| نویسندگان | ||
| R. Davarzani* 1؛ S. Mozaffari2؛ Kh. Yaghmaie2 | ||
| 1Department of Electrical and Computer Engineering, College of Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran | ||
| 2Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran. | ||
| چکیده | ||
| Feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. Simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of Local Binary Pattern features. In this paper, we investigate the use of local binary patterns for perceptual image hashing. In feature extraction, we propose to use both sign and magnitude information of local differences. So, the algorithm utilizes a combination of gradient-based and LBP-based descriptors for feature extraction. To provide security needs, two secret keys are incorporated in feature extraction and hash generation steps. Performance of the proposed hashing method is evaluated with an important application in perceptual image hashing scheme: image authentication. Experiments are conducted to show that the present method has acceptable robustness against perceptual content-preserving manipulations. Moreover, the proposed method has this capability to localize the tampering area, which is not possible in all hashing schemes. | ||
| کلیدواژهها | ||
| Center-symmetric local binary patterns؛ perceptual image hashing؛ image authentication؛ tamper detection | ||
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آمار تعداد مشاهده مقاله: 2,800 تعداد دریافت فایل اصل مقاله: 3,539 |
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