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7 articles for “copy move”
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Rotation Invariant Copy-Move Image Forgery Detection Using a Method Based on Fuzzy-Zernike Moments
Abstract: AbstractWithout leaving any visual clue, digital images are easy to manipulate due to the availability of countless editing software packages. Any image manipulation can become a forgery. Copymove forgery is a very common method of creating forge images by copying some part of the image and pastes it on the same image. In this paper, we propose a copy-move digital image forgery detection method using Fuzzy-Zernike Moments. The proposed method …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 58–68 Read article
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Detection of Image Tempering: An Exhaustive Survey
Abstract: In modern technology, the manipulation of the digital image is very easy and common. An image can be tampered simply by photo editing software like Photoshop in a very advanced way. The motive of this research is to detect and confront the validness of the image, and if the image has been produced or altered at that point recognizing the altered locale of the image. Here we are utilizing different …
Published in Journal of Open Source Developments · Vol. 5, Issue 3, 2018 · pp. 1–10 Read article
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Innovations in Forensic Imaging: Leveraging Deep Learning for Authenticity Verification
Abstract: The advent of digital media has necessitated advancements in forensic imaging, especially for the detection and verification of image authenticity. In this context, digital image forensics plays a critical role in identifying manipulated or counterfeit images. This paper presents a new method that uses deep learning techniques to enhance image forgery detection. The approach utilizes a convolutional neural network (CNN) to automatically learn and recognize the intricate features present in …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
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Data Maneuvering Identification
Abstract: Copy-move forgery detection (CMFD) is unquestionably one of the most active research areas in the field of blind image forensics. Most existing algorithms rely on block and key-point strategies, either separately or jointly. Recent applications of deep convolutional neural network (CNN) techniques include image forensics, image hashing retrieval, and picture classification. These techniques have outperformed more conventional techniques in many areas. In this study, a brand-new convolutional neural network based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 99–104 Read article
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Deepfake Detection Using Resnext50
Abstract: Due to the recent advancements in Artificial Intelligence (AI), technologies it has led to the rapid development in the modification of audio, video, and image manipulation techniques. This AIgenerated media content is referred to as "Deep Fakes". AI-based tools can exploit and manipulate media in increasingly believable ways like super-imposing a person’s face on another person’s body or creating copies of a public person’s voice. A range of papers has …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 39–45 Read article
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Goggle Mouse
Abstract: AbstractThe essential thought of the undertaking is to fabricate Goggle by utilizing human machine interface which can be utilized to control mouse by utilizing head-tilt and eye-flicker. This mouse-copying gadget can be observed to be most helpful by physically debilitated and incapacitated persons who can no longer control the PCs by utilizing their hands. Since the gadget depends on person's head and eye movements, it can be utilized even by …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 3, 2016 · pp. 9–14 Read article
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Integrating QR Code and Blockchain Technologies for Enhanced Authenticity and Traceability of Products
Abstract: The counterfeiting of products is a significant challenge faced by the retail market today. Various methods such as RFID tags, machine learning, artificial intelligence, and QR code-based systems have been employed to combat counterfeiting, but they all have some drawbacks. For instance, QR codes can be copied from genuine products to fake ones, and AI and machine learning require high computational power. To address this issue, we propose using blockchain …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 1, 2023 · pp. 6–11 Read article