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Proceedings of the 2023 Eighth International Conference on Research in Intelligent Computing in Engineering

Annals of Computer Science and Information Systems, Volume 38

Detection of Copy-Move Image Forgery Using Local Binary Pattern from Detailed Wavelet Coefficient

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DOI: http://dx.doi.org/10.15439/2023R29

Citation: Proceedings of the 2023 Eighth International Conference on Research in Intelligent Computing in Engineering, Pradeep Kumar, Manuel Cardona, Vijender Kumar Solanki, Tran Duc Tan, Abdul Wahid (eds). ACSIS, Vol. 38, pages 29–33 ()

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Abstract. one of the most prevalent types of image forgery is copy-move forgery. A portion of the image is being copied and further pasted to a different location inside the identical image during the copy-move approach in order to hide a significant portion of the image. Finding duplicate portions in the image is the purpose of the copy-move based forgery detection technique. In this paper, we suggest a system which tends to detects forged portion in a forgery image. The DILBP (Detailed image local binary pattern) approach is used in this work to extract features, which includes extraction of feature, matching of feature, duplicate valued block detection. Several experiments have been initiated on a forged image to detect copy-move forged part. The experimental conclusions highlight that the suggested system is efficient for quality with respect to accuracy and speed

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