The Studing Of Human Face Detection And Sexual Identification Based On Complexion

Human-face detection is a technique which can find the positions and the sizes of human faces in color images through some algorithms. It is the first step in human face detection, human face tracking, posture estimation and expression identification. And the study of human sexual identification based on human face characters is a hotspot. Its search fruit will play an important part in sexual analysis of humans in some public areas. There are some shortages in some old methods of human face detection at the sides of speed or nicety rate, and sexual identification is a new studying hotspot. So it will be important to excogitate a fast and exact human face detection method and an effective method of sexual identification.In this paper, a human face detection method which is based on complexion similitude extent and a human sexual identification method which is based on human face characters are studied. Firstly, the illumination question which can affect the effect of human face detection is analyzed, and an arithmetic which is called beam compensation is brought forward to eliminate color excursion. Secondly, an appropriate color space is chosen to establish a complexion similitude extent mode. The complexion regions in images are found making use of the complexion mode, and they form human face waiting-chosen region. The genuine human face regions are found through human face validating algorithm. At the same time, facial features are located according to facial features algorithm. Lastly, according to studying the human face images, some features which can be used to judge humans'sexual are brought forward, and a sexual classified implement is designed using of BP nerve net. All above algorithms are carried out through software, and the errors of human face detection and sexual identification are analyzed.For gaining good experimental results, there are the requirements for the experimental images: The size of each image is at least 320pixel×240pixel, the area of each face in every image is at least 60pixel×60pixel, the angle of human face apart from uprightness should be less than 30 degrees.The results of experiments indicate that the human face detection algorithm,...