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Facial recognition systems match faces in images or video to faces in a stored database by detecting and measuring facial features.
A facial recognition system is a biometric technology that can match a human face found in a digital image or video frame against a database of faces. It works by detecting and measuring facial features (such as the eyes, nose, and mouth) from the input image, converting them into a representation, and then comparing that representation to stored records. The purpose of facial recognition is primarily identification and authentication—verifying a person’s identity for services such as ID verification and access control. Beyond authentication, it is also used for tasks like surveillance, law enforcement support, passenger screening, and indexing or searching images, where the system helps determine whether a face in new footage matches someone in a known database.
Facial recognition systems match faces in images or video to faces in a stored database by detecting and measuring facial features.
They are commonly used for authentication/ID verification, and also for applications such as surveillance, law enforcement support, and passenger screening.
A technology that matches a face from an image or video frame against a database of faces using measured facial features.
Technologies that measure physiological characteristics of humans for identification or verification, including facial features in facial recognition.
A process that confirms a person’s identity, often by comparing a captured face to a stored reference in a database.
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