Facial recognition system

A biometric system that analyzes facial features to verify a claimed identity or identify a person by comparing their face with stored images.

Facial landmark detection: The localization of facial points such as the eyes, nose, and mouth in an image. Landmarks help align faces before their features are compared.
Face verification: A biometric task that checks whether a face matches a claimed identity. It is the one-to-one matching mode used to confirm an asserted identity.
Biometrics: The measurement and statistical analysis of human physical or behavioral traits for recognition. Facial recognition is one biometric method among several.
Fingerprint recognition: Biometric recognition that compares friction-ridge patterns from a person’s fingers. It identifies people through a different physical trait, often requiring direct contact.
Privacy: The ability of people to control access to information about themselves and their lives. Face images can be collected and searched without a person’s knowledge or consent.
Face alignment: The geometric normalization of a face image to reduce variation in pose and position. Alignment makes comparisons less sensitive to a face’s orientation or location.
Face identification: A biometric task that searches a collection of faces for a match to an unknown person. It is the one-to-many mode used to find a person among stored records.
Computer vision: The field of computing that enables machines to interpret information in images and video. Facial recognition applies visual analysis to identity decisions.
Iris recognition: Biometric recognition that compares patterns in the colored ring of the eye. It uses eye texture rather than facial appearance as the identity signal.
Mass surveillance: The large-scale, systematic monitoring of populations using information-gathering technologies. Networked facial identification can enable persistent monitoring in public spaces.

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