Face recognition system mainly includes face image acquisition and detection, face image preprocessing, face image feature extraction and matching and recognition.
1, face image acquisition and detection
Face image acquisition is the different face images are captured through the camera lens, when the user in the capture device within the range of the capture device, the capture device will automatically search for and capture the user's face image. Face detection in practice is mainly used for face recognition preprocessing, in fact, it is to pick out the useful information and use these features to achieve face detection.
2, face image preprocessing
Face image preprocessing is based on the results of face detection, image processing and ultimately serve the process of feature extraction.
3, face image feature extraction
Face recognition systems can use features are usually divided into visual features, pixel statistical features, face image transformation coefficient features, face image algebraic features and so on. Face feature extraction is the process of feature modeling for certain features of the face, also known as face characterization.
4. Face Image Matching and Recognition
Face recognition is to compare the face features to be recognized with the face feature template that has been obtained, and to judge the identity information of the face according to the degree of similarity.
What is the use of face recognition technology?
Face recognition is mainly used for identification. As video surveillance is rapidly gaining popularity, many video surveillance applications urgently need a long-distance, non-cooperative user rapid identification technology, in order to quickly confirm the identity of the person at a distance, to achieve intelligent early warning. Face recognition technology is undoubtedly the best choice, the use of fast face detection technology can be from the monitoring video images in real time to find the face, and with the face database for real-time comparison, so as to achieve rapid identification.
Face recognition products have been widely used in finance, justice, military, public security, border control, government, aerospace, electric power, factories, education, medical care, and many enterprises and institutions. With the further maturation of the technology and the improvement of social recognition, face recognition technology will be applied in more fields.