A Study on the Anti-copying method for hard copy documents using Human Visual System
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This paper presents a new anti-copying methode for hard copy documents. The approach protects the document and its content from unauthorized copying and forgeries, while using ordinary paper and ordinary printer. The paper copy is protected against copying as the photocopy version will appear differently when compared to the authorized printed original hard copy using Human Visual System. The anti-copying pattern created through pointillism with a halftone cell and a spot. The proposed method is useful for unauthorized copying and forgeries with high-resolution scanners and photocopiers.Keywords:
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Digital images are the most important source of information.The availability of powerful digital image processing software's, makes it relatively easy to create as well as manipulate and make digital forgery from one or multiple images.In today's world it is easy to developed the image forgery by adding or removing some elements from the image which result in a of image tampering.A copy-move forgery is created by copying and pasting content within the same image, and post-operating it.The detection of copy-move forgeries has become one of the most actively researched topics in image forensics department.The key objectives of the proposed method is to study the effect of different types of tampering on the digital image, detect image forgery by copy-move under many types of attacks by combining block-based and feature based method and accurately locating the duplicated region.
Feature (linguistics)
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Copy-Move forgery is the very prevalent form of image tampering. The powerful image processing tools available freely helps even the naive to tamper with images. A copy-move forgery is performed by copying a region in an image and pasting it in the same image most probably after applying some form of post-processing on the region like rotation, blurring, scaling, double JPEG compression etc. This makes it difficult to develop one common technique to detect copy-move forgery. As a result a considerable number of methods have been developed in view to detect different forms of copy-move forgeries. Those techniques can be classified generally as block based techniques and key- point based techniques. This paper presents an extensive survey on the very recent methods developed for copy-move forgery detection.
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Copy protection
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In this paper, a novel scheme of text digital watermarking was presented based on components computing, in order to protect copyright of digital text documents, prevent them from illegal copying and diffusing. In the process of abstracting the text content to vector cluster, and thus the embedding and detecting of text digital watermarking was realized. Results of experiments showed that the watermark is robust against copying, cutting and format adjusting.
Copying
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Digital images are the most important source of information. The availability of powerful digital image processing software's, makes it relatively easy to create as well as manipulate and make digital forgery from one or multiple images. In today's world it is easy to developed the image forgery by adding or removing some elements from the image which result in a of image tampering. A copy-move forgery is created by copying and pasting content within the same image, and post-operating it. The detection of copy-move forgeries has become one of the most actively researched topics in image forensics department. The key objectives of the proposed method is to study the effect of different types of tampering on the digital image, detect image forgery by copy-move under many types of attacks by combining block-based and feature based method and accurately locating the duplicated region.
Copying
Feature (linguistics)
Image editing
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In copy-move forgery, a certain area of an image is cut or copied to hide the unrequired parts of an image and then this part is pasted on some other part. Copy-move forgery is among the most popular image tampering methods used these days. The use of this image tempering method is quite common due to its simplicity and the generation of high-quality outcomes. Nowadays, this method is used to serve different purposes with the technological advancement. The various schemes are reviewed in this work for the copy-move forgery detection which are based on the block and pixel matching techniques.
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Forgeries related with official printed documents can easily be performed with the aid of today's advanced electronic devices such as scanners and computers. The forged documents are usually undetectable by human eyes and it is with this regard that there is an urgent need to find solutions to the threat of counterfeiting of such documents. With watermarking technique, information that is used to determine the validity of printed document can be embedded in the document. The embedded information can be imperceptible to human eyes, thus the process of forgery is made harder for the attackers. To authenticate the owner of the document, the embedded watermark is extracted from the watermarked document. However, in the verification process the printed document may suffer from printing and scanning (PS) distortion and as such it is necessary to resolve the noise and unwanted rotation as well as any degradation made by printing and scanning. This study proposed a watermarking technique to address this issue.
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In today's modern life, digital images have significant importance because they have become a leading source of information dissemination. However, the availability of image editing tools made it easier to forge the contents of a digital image; making the authenticity untrustful. Different techniques can be used to forge the digital images. Copy move forgery is the most popular and common approach where a specific part of an image is copied and pasted elsewhere in the same image to conceal unwanted part or object. In this study, we attempted to survey several passive block based copy move forgery detection techniques. A passive technique attempts to identify forgery in digital images without any prior information. A comparison between various techniques is also included.
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