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    List of Articles Sattar Mirzakuchaki


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    1 - Survey of HARRIS , SIFT and SURF Feature Points
    journal of Artificial Intelligence in Electrical Engineering , Issue 4 , Year , Autumn 2019
    Feature-based methods are resistant to various types of attacks including tearing, and the syntactic property of the watermarking is retained in the watermark along with prominent image features. These image features may be the main image, local areas, or feature points More
    Feature-based methods are resistant to various types of attacks including tearing, and the syntactic property of the watermarking is retained in the watermark along with prominent image features. These image features may be the main image, local areas, or feature points such as its edges, corners, texture and color. The title of second generation of watermarking is introduced based on feature points.This category of watermarking uses prominent image features in both insertion and extraction operations of watermark as a reference. Features must have properties such as resistance to image transfer, rotation, resizing, as well as resistance to noise and local changes. As a result, due to the unchangeability properties of feature points and important areas, this method is resistant to geometric attacks and image processing. Another advantage of this method is its combination in the areas of location and frequency. This paper reviewed two resistant methods of surf and Harris which are widely used in feature-based watermarking. Manuscript profile