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Pages in category "Fingerprinting algorithms" The following 9 pages are in this category, out of 9 total. This list may not reflect recent changes. A.
Automated fingerprint identification is the process of using a computer to match fingerprints against a database of known and unknown prints in the fingerprint identification system. Automated fingerprint identification systems (AFIS) are primarily used by law enforcement agencies for criminal identification purposes, the most important of ...
Scanning forms ("fingerprint cards") with a forensic AFIS complies with standards established by the FBI and National Institute of Standards and Technology (NIST). To match a print, a fingerprint technician scans in the print in question, and computer algorithms are utilized to mark all minutia points, cores, and deltas detected on the print ...
To serve its intended purposes, a fingerprinting algorithm must be able to capture the identity of a file with virtual certainty. In other words, the probability of a collision — two files yielding the same fingerprint — must be negligible, compared to the probability of other unavoidable causes of fatal errors (such as the system being destroyed by war or by a meteorite): say, 10 −20 or ...
MOWSE was one of the first algorithms developed for protein identification using peptide mass fingerprinting. [4] It was originally developed in 1993 as a collaboration between Darryl Pappin of the Imperial Cancer Research Fund (ICRF) and Alan Bleasby of the Science and Engineering Research Council (SERC). MOWSE stood apart from other protein ...
Fingerprint identification, known as dactyloscopy, [30] ridgeology, [31] or hand print identification, is the process of comparing two instances of friction ridge skin impressions (see minutiae), from human fingers or toes, or even the palm of the hand or sole of the foot, to determine whether these impressions could have come from the same ...
A device fingerprint or machine fingerprint is information collected about the software and hardware of a remote computing device for the purpose of identification. The information is usually assimilated into a brief identifier using a fingerprinting algorithm .
Many implementations of the Rabin–Karp algorithm internally use Rabin fingerprints. The Low Bandwidth Network Filesystem (LBFS) from MIT uses Rabin fingerprints to implement variable size shift-resistant blocks. [2] The basic idea is that the filesystem computes the cryptographic hash of each block in a file. To save on transfers between the ...