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Cloud-Based Detection of Forged Passport and Extraction of True Identity: Surf Match Algorithm for Fraudulence Reduction
Abstract
The forgery of primary documents has become a cause of great concern in recent times. Forged passports have been used in significant numbers, and the number continues to rise year after year. As a result, there is a need for a quick, inexpensive technique that can recognize false passports. This is the same cause why researchers adapted our basic tasks to recognize persons effectively even at a stretch using the SURF matching technique for use in counterfeit passport detection applications. The use of the SURF matching algorithm to identify and so discover the targeting individual has been expanded to the detecting of false passports. This has broadened the area of the paper's application in both detection and tracking and the identification of duplicated passports. The outcome and applicability of our technology can be changed depending on the photographs associated with the input. In the case of a phony passport, the authors' article likewise tries to remove the patient's genuine identity.
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