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The document presents a hybrid model, HDBK, for image forgery detection that combines deep learning, block-based, and keypoint-based methods to enhance detection accuracy at both image and pixel levels. The model utilizes a triple-architecture ensemble of deep learning networks to identify forgery images, followed by an enhanced block-based method using a Genetic Algorithm for region identification, and keypoint descriptors for precise localization. Experimental results demonstrate that HDBK outperforms exi

Author

arunkadam827

Language

EN