Discriminating the Original Region from the Duplicated in Copy-Move Forgery

Salehi, Saba; Mahmoodi-Aznaveh, Ahmad

doi:10.1109/ipria53572.2021.9483497

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2023

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“…Copy-move forgery detection methods are mostly based on finding similar regions by providing a binary mask as their output in which each pixel is identified as either background or copy-move pixels [2]. Since the original and forged region are parts of the same image, detecting the duplicated snippet is a challenging task.…”

Section: Discriminating Original Region From Duplicated One In Copy-m...mentioning

confidence: 99%

A Survey on the Effective Machine Learning Approaches for Medical Images Forgery Detection

Mohan¹,

Carolin²,

Babu³

et al. 2023

IJSREM

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In today’s scenario medical image forgery has turned out to be unsophisticated because of capable PCs, propelled image editing softwares and high resolution capturing gadgets. Insurance fraud is a deliberate deception perpetrated against or by an insurance company or agent for financial gain. The only downside that the health insurance industry has faced is the rise in the number of health insurance frauds. An endeavor is prepared to review the current improvements in the research area of advanced medical image fraud detection and comprehensive reference index has been exhibited on different methods for medical forgery identification. Key Words: CNN, Forgery detection, medical images

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Section: Discriminating Original Region From Duplicated One In Copy-m...mentioning

confidence: 99%