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Eye vein verification is a method of biometric authentication that applies pattern-recognition techniques to video images of the veins in a user's eyes. [1] The complex and random patterns are unique, and modern hardware and software can detect and differentiate those patterns at some distance from the eyes.
The data patterns are processed, compressed, and digitized for future biometric authentication of the subject. Computer security expert Bruce Schneier stated that a key advantage of vein patterns for biometric identification is the lack of a known method of forging a usable "dummy", as is possible with fingerprints.
Biometrics are body measurements and calculations related to human characteristics and features. Biometric authentication (or realistic authentication) is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance.
The behavioral biometric of keystroke dynamics uses the manner and rhythm in which an individual types characters on a keyboard or keypad. [4] [5] [6] The user's keystroke rhythms are measured to develop a unique biometric template of the user's typing pattern for future authentication. [7]
The Biometric Consortium is a US government sponsored consortium created by the National Security Agency (NSA) and the National Institute of Standards and Technology (NIST). [1] It serves as the US government focal point for the research, development, testing, evaluation and application of biometric -based personal authentication technology.
Identity management (ID management) – or identity and access management (IAM) – is the organizational and technical processes for first registering and authorizing access rights in the configuration phase, and then in the operation phase for identifying, authenticating and controlling individuals or groups of people to have access to applications, systems or networks based on previously ...
Private biometrics is a form of encrypted biometrics, also called privacy-preserving biometric authentication methods, in which the biometric payload is a one-way, homomorphically encrypted feature vector that is 0.05% the size of the original biometric template and can be searched with full accuracy, speed and privacy.
Biometric tokenization like its non-biometric counterpart, tokenization, utilizes end-to-end encryption to safeguard data in transit.With biometric tokenization, a user initiates his or her authentication first by accessing or unlocking biometrics such as fingerprint recognition, facial recognition system, speech recognition, iris recognition or retinal scan, or combination of these biometric ...