How is the technology of brush face payment realized?

Face-brushing payment is based on face recognition technology, which is a biometric technology for identity recognition based on human facial feature information. A series of related technologies, usually called portrait recognition and face recognition, are used to collect images or video streams containing faces, automatically detect and track faces in images, and then recognize the detected faces.

The research of face recognition began in the late 1960s and early 1970s, and it belongs to the same biometric identification technology as fingerprint recognition, palmprint recognition and iris recognition. The early face recognition technology is to measure the geometric relationship of faces according to the corner of eyes, nostrils, mouth and chin, and realize face recognition through the similarity between the face template in the image database and the face to be recognized.

Its disadvantages are easy to lose useful information, and poor recognition ability when the angle of view and expression change. Because of time, there are often some differences between the ID photo and the user's current photo, such as the width of the face, but the distance between the pupils is relatively constant. There may be errors in the traditional regression operation. Now the deep learning algorithm is constantly improving, and the face can be divided into more than 100 key points to avoid mistakes as much as possible.

Face recognition system integrates artificial intelligence, machine recognition, machine learning, model theory, expert system, video image processing and other professional technologies, and also needs to combine the theory and implementation of median processing, which is the latest application of biometric identification.