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Video fingerprinting or video hashing are a class of dimension reduction techniques [1] in which a system identifies, extracts and then summarizes characteristic components of a video as a unique or a set of multiple perceptual hashes or fingerprints, enabling that video to be uniquely identified. This technology has proven to be effective at ...
Perceptual hashing is the use of a fingerprinting algorithm that produces a snippet, hash, or fingerprint of various forms of multimedia. [ 1 ] [ 2 ] A perceptual hash is a type of locality-sensitive hash , which is analogous if features of the multimedia are similar.
As with fingerprints, an individual's DNA profile and characteristics are unique. [citation needed] Forensic identification using DNA can be useful in different cases such as determining suspects in violent crimes, solving paternity/maternity, and identifying human remains of victims from mass disasters or missing person cases. [21]
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Magnetic resonance fingerprinting (MRF) is methodology in quantitative magnetic resonance imaging (MRI) characterized by a pseudo-randomized acquisition strategy. It involves creating unique signal patterns or 'fingerprints' for different materials or tissues after which a pattern recognition algorithm matches these fingerprints with a predefined dictionary of expected signal patterns.
There are three patterns of fingerprint ridges– arch, loop, and whorl– that represent the overall structure, and the ridge endings or bifurcation represent the local structure or minutiae points. [4] Different algorithms incorporate these fingerprint traits and structure to group the fingerprints and identify the differences.
The Henry Classification System is a long-standing method by which fingerprints are sorted by physiological characteristics for one-to-many searching. Developed by Hem Chandra Bose, [1] Qazi Azizul Haque [2] and Sir Edward Henry in the late 19th century for criminal investigations in British India, [3] it was the basis of modern-day AFIS (Automated Fingerprint Identification System ...
Hand geometry is not thought to be as unique as fingerprints, palm veins or irises. Fingerprinting and iris recognition remain the preferred technology for high-security applications. In large populations, hand geometry is not suitable for so-called one-to-many applications, in which a user is identified from his biometric without any other ...