Copy-move forgery detection using binary discriminant features
نویسندگان
چکیده
منابع مشابه
Copy Move Forgery Detection Using Glcm Based Statistical Features
The features Gray Level Co-occurrence Matrix (GLCM) are mostly explored in Face Recognition and CBIR. GLCM technique is explored here for Copy-Move Forgery Detection. GLCMs are extracted from all the images in the database and statistics such as contrast, correlation, homogeneity and energy are derived. These statistics form the feature vector. Support Vector Machine (SVM) is trained on all the...
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Thanks to the availability of many sophisticated image processing tools, digital image forgery is prevalent nowadays. One of the common methods is copymove forgery (CMF), where part of an image is copied to another location in the same image. Detection of copy-move forgery has been widely researched recently, and many different solutions have been proposed. This chapter introduces a different a...
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ژورنال
عنوان ژورنال: Journal of King Saud University - Computer and Information Sciences
سال: 2018
ISSN: 1319-1578
DOI: 10.1016/j.jksuci.2018.11.004