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  2. Private biometrics - Wikipedia

    en.wikipedia.org/wiki/Private_biometrics

    Biometric security strengthens user authentication but, until recently, also implied important risks to personal privacy. Indeed, while compromised passwords can be easily replaced and are not personally identifiable information(PII), biometric data is considered highly sensitive due to its personal nature, unique association with users, and the fact that compromised biometrics (biometric ...

  3. Biometric tokenization - Wikipedia

    en.wikipedia.org/wiki/Biometric_tokenization

    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 ...

  4. Biometrics - Wikipedia

    en.wikipedia.org/wiki/Biometrics

    Second, in identification mode the system performs a one-to-many comparison against a biometric database in an attempt to establish the identity of an unknown individual. The system will succeed in identifying the individual if the comparison of the biometric sample to a template in the database falls within a

  5. Tokenization (data security) - Wikipedia

    en.wikipedia.org/wiki/Tokenization_(data_security)

    Tokenization, when applied to data security, is the process of substituting a sensitive data element with a non-sensitive equivalent, referred to as a token, that has no intrinsic or exploitable meaning or value. The token is a reference (i.e. identifier) that maps back to the sensitive data through a tokenization system.

  6. Biometric device - Wikipedia

    en.wikipedia.org/wiki/Biometric_device

    It is believed to be the first man-made device which can capture 2 or more distinct biometrics from the same region of pixel stacks (forming a surface) at the same instant, allowing for the data to form a third biometric, which is a more complex pattern inclusive as to how the data aligns. An example would be to capture the finger print and the ...

  7. CBEFF - Wikipedia

    en.wikipedia.org/wiki/CBEFF

    An example may be a system capable of enrolling either face or finger biometric samples, where all captured biometric data is input to a common location. If all captured data is contained in CBEFF structures each sub-system (finger or face) could poll the incoming location to inspect and select only the data relating to the biometric modality ...

  8. Elon Musk’s X now wants your biometric data, as well ... - AOL

    www.aol.com/finance/elon-musk-x-now-wants...

    Elon Musk's X, the social media giant formerly known as Twitter, is rolling out its new privacy policy, and it's a game-changer in data collection.From Sept. 29, the company is casting a wider net ...

  9. Automatic identification and data capture - Wikipedia

    en.wikipedia.org/wiki/Automatic_identification...

    Capturing data can be done in various ways; the best method depends on application. In biometric security systems, capture is the acquisition of or the process of acquiring and identifying characteristics such as finger image, palm image, facial image, iris print, or voiceprint which involves audio data, and the rest all involve video data.

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