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In addition, we deliberately avoid reporting the same pair multiple times by duplication checking.
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Here, "Duplication Check" techniques described in "SIFT feature matching" are used.
We refer to the former matching as "Duplication Check" and the latter as "Matching".
In Matching, the distance calculation is the same as that in Duplication Check.
A client can perform a duplication check only for the files marked with matching privileges.
In Duplication Check, SIFT features are extracted from an image, and then, the local feature regions are generated.
Validation includes running duplication checks for each of the profiles to ensure there are not more than one Aadhar number for the same person.
Using deliberate duplication checks, the number of edit distance calculations is reduced as much as possible.
Duplication checks will ensure that eligible participants are not invited to the BEEP trial more than once.
To avoid potential duplication we checked the regulatory reports with trials in the clinical trials register when possible.
So, for every new enrollment, a 'de-duplication' check is done against all existing profiles, which is over half a billion currently.
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