An Invisible Watermarking Based Framework for Authenticating Biometric Images

Payal Garg

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English

Mohammed Abdul Sattar
20 December 2023

Communications engineering & telecommunications; Speech recognition; Signal processing; Image processing; Audio processing

Summary
Details

It is now routine practice to make large picture archives hosted on publicly accessible internet servers making the photos accessible over the Internet has also allowed malicious actors to change forgery photos available on the web or replacing them with supplied images. Both of these scenarios are possible now. Additionally, as a result of the proliferation of sophisticated image editing software in recent years, many people now have access to the tools necessary to modify the contents of digital images with relative ease, producing results that are eerily similar to those produced by professionals working in the conventional photographic medium. To address these issues, it has become necessary to create methods that can safeguard digital pictures against attacks that are harmful in nature. Invisible watermarking is used for data concealment, copyright protection, and picture verification. Several different approaches for invisible watermarking have been documented. This research will concentrate mostly on the methods of undetectable watermarking that may be used for picture authentication.

The Trustworthy Digital Camera included a watermarking system or not public-key encryption technology had been used to modify a digital photograph. Schendel also led a conversation on manipulating the least significant bit to encode digital signatures on a photo, which you can read more about in the previous sentence (LSB). During the course of the project, many methods were designed to embed binary bits at addresses that were produced at random. Each pixel's LSB was modified to match the bit that corresponded to it in the string. It is quite unusual for invisible watermarking techniques, information inscribed on the LSB of picture pixel values, to generate visual artefacts in the image. When an image is modified, the least significant bit (LSB) almost always shifts, which makes it possible for the verification process to identify the update. It is not difficult to Create a system that updates picture content without modifying LSBs. This can be done to the point where the entire image can be changed without changing the LSB. LSB tampering is vulnerable to malicious attacks. When this occurs, verification does not pick up modifications, which is dependent on the LSB. The verification process of some existing techniques for invisible watermarking is limited by the fact that these techniques cannot determine the specific regions of an image that have been altered. Instead, they can only indicate if an image has been altered. This is merely one of these methods' drawbacks. Using this information, more effective safety measures could be created.

In the image verification process, the portions of the image that have been altered can be determined and localized with the help of the suggested watermarking approach and removing watermarks. If the verified key is unknown, a change to one region's pixel values will certainly cause watermark pixels to differ, artefacts in the extracted watermark image. This type of Verification doesn't require an original (unwatermarked) source image, and it is efficient because the technique for watermark extraction only requires a small number of operations. For a Verifiable invisible watermarking, it must be nearly Interloper can't tell if a picture is watermarked, whether the information is embedded or not, and that the interloper is unable to edit, or reapply the watermark. In order to evade verification. In other words, an interloper must not be able to Identify watermarked images. Therefore, within the framework of this particular technique, the embedded watermark may be identified throughout its detection by only LSB analysis, which are pixel distributions produced following the watermarking procedure.

By: Payal Garg
Imprint: Mohammed Abdul Sattar
Dimensions: Height: 279mm, Width: 216mm, Spine: 7mm
Weight: 304g
ISBN: 9798223096627
Pages: 124
Publication Date: 20 December 2023
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active