Face recognition technology is a biometric technology for identity recognition based on human face feature information. It is a series of related technologies to collect images or video streams containing human faces with cameras or cameras, automatically detect and track human faces in the images, and then carry out face recognition on the detected faces, which is usually also called portrait recognition and face recognition. The traditional face recognition technology is mainly based on visible image, which is also a familiar recognition method. Simply put, it's a process of making the computer recognize you. Face recognition technology is mainly through the extraction and comparison of face image features. The face recognition system searches and matches the feature data of the extracted face image with the feature template stored in the database. By setting a threshold, when the similarity exceeds this threshold, the matching results are output. The face features to be recognized are compared with the obtained face feature template, and the identity information of the face is judged according to the similarity degree. This process is divided into two categories: one is confirmation, which is the process of one-to-one image comparison, and the other is recognition, which is the process of one to many image matching and comparison. Generalized face recognition actually includes a series of related technologies for constructing face recognition system, including face image acquisition, face location, face recognition preprocessing, identity confirmation and identity search; In the narrow sense, face recognition refers to the technology or system of identity confirmation or identity search through face.
![Brief Analysis of Face Recognition Technology_ Taigewang Technology 1]()