Abstract
A new method for extracting the image from the copy-move forging was created by changing the Gabor filter and the Local Binary-Pattern Center Symmetric (LBP-CS) is given in this article. In this article the LBP- CS is a modification of the local binary pattern which is free of the illumination and rotational effect differences, which is commonly used as a feature extractor for the core detecting stage. This method is used to find Center Symmetric Local Binary Pattern values for every Gabor picture (sub-bands) from the previous stage, based on the Gabor filter in different scales and orientations in the input image. This article contains information about the mechanism to detect a forgery in the copy-move and a flowchart of the system proposed. The input image is pre-processed and the Gabor Filter and LBP-CS function is extracted with various scales and guidelines. There are five different types of passive image forgery detection methods. Pixel-based techniques draw attention to the pixels in a digital image. Copy-move processes include things like splicing, resampling, and statistical approaches. The similitude of the original and the forgery image was calculated using Euclidean distance in the next step. In the last study, the output of the method proposed is compared to the excising function extraction method.
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Kalyan, M.P., Kishore, D., Singh, M.K. (2022). Local Binary Pattern Symmetric Centre Feature Extraction Method for Detection of Image Forgery. In: Kumar, A., Fister Jr., I., Gupta, P.K., Debayle, J., Zhang, Z.J., Usman, M. (eds) Artificial Intelligence and Data Science. ICAIDS 2021. Communications in Computer and Information Science, vol 1673. Springer, Cham. https://doi.org/10.1007/978-3-031-21385-4_8
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