Facial recognition: Difference between revisions

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Latest revision as of 11:44, 17 March 2025

Facial recognition is a type of biometric technology that is used to identify or verify a person by comparing and analyzing patterns based on the person's facial contours. It is a form of biometric authentication that uses biometric data to identify individuals.

Overview[edit]

Facial recognition technology is primarily used in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems. The technology works by comparing selected facial features from a given image with faces within a database.

How it works[edit]

Facial recognition technology works by using algorithms to identify facial features by extracting landmarks, or features, from an image of the subject's face. For example, an algorithm may analyze the relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw.

Applications[edit]

Facial recognition technology has a wide range of applications, from security and surveillance to social media and marketing. It is also used in healthcare for patient identification and monitoring.

Privacy concerns[edit]

There are privacy concerns associated with the use of facial recognition technology. Critics argue that it can be used for mass surveillance and that it can infringe on privacy rights.

See also[edit]

References[edit]

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