Certain investigation on biomedical impression and image forgery detection Online publication date: Mon, 13-Sep-2021
by M. Arun Anoop; S. Poonkuntran
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 37, No. 1, 2021
Abstract: In today's digital age, the trust towards image is distorted because of malicious forgery images. The issues related to the multimedia security have led to the research focus towards tampering detection. As the source image and the target regions are from the same image so that copy move forgery is very effective in image manipulation due to its same properties such as temperature, colour, noise and illumination conditions. In this paper, we have analysed some papers related to copy move forgery detection and finally concluded with comparative analysis with some parameters and also medical and biomedical image analysis, databases, search engines, devices and system security. And the main objective our work is to find forged region detection based on block-based and key-point image forgery detection method with the original image and forged image data set. In this paper, we have investigated some comparison regarding future works, forgery types, metrics and forgery detection types.
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