Face recognition is a
stand-alone application that is rarely used as a modular technology. It is
increasingly being applied to people’s lives.So what is face recognition
technology?Face recognition is a biometric recognition technology based on human
facial feature information for identification. A series of related techniques
for capturing a face or a video stream with a camera or a security camera,
automatically detecting and tracking face in the image, and performing face
recognition on the detected face, usually called portrait recognition and
face recognition.
The Face Recognition System mainly includes four
components: Face Image Acquisition and Detection, Face Image Preprocessing,
Face Image Feature Extraction, and Matching and Recognition.Face Image
Acquisition and Detection:
Face image acquisition: Different face
images can be captured by the camera, such as static images, moving images,
different positions, different expressions, etc. can be collected by the cctv
camera. When the user is within the shooting range of the collection device,
the acquisition device automatically searches for and captures the user’s
face image.Face Detection: Face detection is mainly used for pre-processing
of face recognition, and the position and size of the face are accurately
calibrated in the image.The mode features contained in the face image are
very rich, such as histogram features, color features, template features,
structural features and so on. Face detection is to screen out useful
information and use these features to achieve face detection.
Face
Image Preprocessing:
Face image preprocessing is based on the result
of face detection, processing the image and ultimately serving the process of
feature extraction.The original image acquired by the system is often not
directly used due to various conditions and random interference. It must be
pre-processed with grayscale correction and noise filtering in the early
stage of image processing.
Search Face by
Face
Face Image Feature Extraction:
Face image feature
extraction: The features that can be used by the face recognition system are
generally divided into visual features, pixel statistical features, face
image transform coefficient features, face image algebra features, and the
like. Face feature extraction is performed on certain features of the face.
Face feature extraction, also known as face representation, is a process of
character modeling a face.
Face Image Matching and
Recognition:
Face image matching and recognition: The feature data of
the extracted face image is searched and matched with the feature template
stored in the database. By setting a threshold, when the similarity exceeds
the threshold, the result of the matching is output.Face recognition is to
compare the face features to be recognized with the obtained face feature
templates, and judge the identity information of the faces according to the
degree of similarity.This process is divided into two categories: one is
confirmation, which is a one-to-one image comparison process, and the other
is recognition, which is a one-to-many image matching process.At present, due
to the rapid and comprehensive popularity of video surveillance, it takes too
much manpower and resources to quickly and accurately find a person from a
large number of surveillance video images in a short period of time. Numerous
video surveillance applications urgently need a fast identification
technology in a long-distance, user-incompatible state, so face recognition
technology
and face recognition camera emerges as
the times require. Using fast face detection, face tracking and face grabbing
technology, you can quickly find faces from video surveillance and compare
them with the database to quickly identify them and greatly improve the
monitoring effect. It has been widely used in government, military, public
security systems, public security, and personal information security.