The Face Recognition Technology And Applications

In order to satisfy the new requirement of the police on arresting criminals by on-line information, we took deep research in the recognition of human's frontal face, and did lots of experiments in the period of automatic face locating and feature extracting. In this dissertation we proposed a new adaptable two-step face locating algorithm, which combined HBEL algorithm and ellipse-model matching algorithm, and men we use Eigen-Region Analysis(ERA) to extract feature. Experiments show that this method has high processing speed, low data quantity, great performance so, it's a good choice for large-capacity recognition applications. And it can work well even when the faces are acclivitous or with a little expression. As a research of obvious goal, we developed a prototype system named Mandrill.