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Iranian Journal of Electrical and Electronic Engineering، جلد ۱۶، شماره ۴، صفحات ۴۷۴-۴۸۶
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Detection of Copy-Move Forgery in Digital Images Using Scale Invariant Feature Transform Algorithm and the Spearman Relationship
چکیده انگلیسی مقاله Increased popularity of digital media and image editing software has led to the spread of multimedia content forgery for various purposes. Undoubtedly, law and forensic medicine experts require trustworthy and non-forged images to enforce rights. Copy-move forgery is the most common type of manipulation of digital images. Copy-move forgery is used to hide an area of the image or to repeat a portion in the same image. In this paper, a method is presented for detecting copy-move forgery using the Scale-Invariant Feature Transform (SIFT) algorithm. The spearman relationship and ward clustering algorithm are used to measure the similarity between key-points, also to increase the accuracy of forgery detection. This method is invariant to changes such as rotation, scale change, deformation, and light change; it falls into the category of blind forgery detection methods. The experimental results show that with its high resistance to apparent changes, the proposed method correctly detects 99.56 percent of the forged images in the dataset and reveals the forged areas.
کلیدواژه‌های انگلیسی مقاله Copy-Move Forgery, SIFT Features, Spearman-Based Similarities, Ward Linkage Method, Feature Transform Algorithm.
نویسندگان مقاله | A. Fattahi
Department of Computer Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran.


| S. Emadi
Department of Computer Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran.
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-3009-1&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده 5-Image Processing
نوع مقاله منتشر شده Research Paper
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