FORGERY DETECTION OF DIGITAL IMAGES
Dr.SIVAJI U
Broschiertes Buch

FORGERY DETECTION OF DIGITAL IMAGES

FORENSIC SCIENCE RESEARCH SUMMARY

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The current study indicates that deep learning may be effectively used in applications including picture categorization, image identification, and object recognition by using several CNN architectures. On altered and/or bigger datasets, cost-effective picture classification is accomplished, and enhanced image feature mapping is derived from related images in text metadata using CNNs. Given the limited association between feature labels and comparable (and/or unrelated) pictures, employing feature map representations is demonstrated to be cheaper and quicker, but it does not increase the qualit...