Eye Detection Algorithm Based On Fractal Dimension

Face detection and recognition technology is the field of artificial intelligence and machine vision in the most challenging one of the research topic. Let the computer automatically recognize human faces the field of computer vision is an important research topic, a complete face recognition system consists of face detection, face image preprocessing, face feature extraction, image similarity calculation between functional modules, such as . Facial feature extraction is the automatic face recognition system in a very important. Compared to other facial features, eyes the exact location has a unique value, It is the realization of human face images normalized geometry of the necessary conditions for fully automatic face recognition has become a very crucial aspect of this paper on the computer in the face detection analysis of a number of issues at the same time, for the face recognition system The third important aspect - Face detection feature extraction methods in the eyes of an in-depth study, based on fractal dimension of detection methods.In this paper, the standard face database in the main organs of the face (such as eyes, eyebrows, nose, mouth) for the fractal dimension analysis, the statistics of the above-mentioned fractal dimension of the organ distribution and organ with an image of the fractal dimension a few on the relationship between the fractal dimension based on the number of eyes to identify model (Based on Fractal Dimension to Recognition eyes, BFD), and model the use of BFD library MIT_ Face detection in images. BFD In this paper, experimental results show that the eye detection method is reasonable, with a theoretical value and practical value.