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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 ...
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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 .
Any hash function could be used to divide a long file into blocks (as long as a cryptographic hash function is then used to find the checksum of each block): but the Rabin fingerprint is an efficient rolling hash, since the computation of the Rabin fingerprint of region B can reuse some of the computation of the Rabin fingerprint of region A ...
Next Generation Identification (NGI) is a project of the Federal Bureau of Investigation (FBI). The project's goal is to expand the capabilities of the Integrated Automated Fingerprint Identification System (IAFIS), which is currently used by law enforcement to identify subjects by their fingerprints and to look up their criminal history.