Electronics Project:Face Recognition System
Implementation
of Face Recognition system:
A facial recognition system is a computer
application for automatically identifying or verifying a person from a digital
image or a video frame from a video source. One of the ways to do this is by
comparing selected facial features from the image and a facial database. It is
typically used in security systems and can be compared to other biometrics such
as fingerprint or eye iris recognition systems
Some facial
recognition algorithms 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. These features are then used to search for other images
with matching features. Other algorithms normalize a gallery of face images and
then compress the face data, only saving the data in the image that is useful
for face detection. A probe image is then compared with the face data. Recognition
algorithms can be divided into two main approaches, geometric, which looks at
distinguishing features, or photometric, which is a statistical approach that
distills an image into values and compares the values with templates to
eliminate variances.
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