Based On Mathematical Morphology Face Detection Research

With the development of intellectualized information technology,high effective and accuracy Authentication is need in remote education,video monitoring,interactive technology, and safety areas.Face recognition technology is a biometric identification technology which identifies the status automatically on the basis of the features of human faces such as eyes and mouth.Face recognition technology has a lot of unique advantages among various biometric identification technologies,especially the advantages of visual,non-infestation,cheat-proof and good expansibility,which make it has a broad application domain.It also draws extensive attention in academic and the industrial circles and has been successfully applied in some fields. It also attracts more and more researchers' interesting and they have achieved some meaningful research achievements.Because the color information in the person face region is rich,and moreover easily disturbed by outside light and other factors,then the person face characteristics will have many kinds of different situations under the different posture,the different illumination or other image formation condition,which increased the person face examination difficulty.The person face recognition and the feature detection general exists many characteristics such as complex computation,slow speed,bad robustness and so on.This paper reviews the recent years' massive domestic and foreign literature and articles about face recognition.Based on the massive study, this paper proposed the face recognition method based on mathematics morphology.Firstly,it introduced the person face detection question's classification as well as the present development situation,and then elaborated the YCbCr space's superiority to take the skin color model by analyzing and comparing each kind of common color space.It has neglected the skin color in the YCbCr space the Y component characteristic,only considers chromaticity component Cb and Cr in the traditional way,the skin color model has such flows:between the high luminance area and the low brightness area,the skin color chromaticity is not basic brightness influence,that is to say,to obtain the more accurate examination effect,the Y value different creates influence should be considered.This paper has counted the massive brightness different person face image's three component values in the YCbCr space,carried on the partition threshold value judgment to the skin color,refined the threshold value of scope skin color which took under different brightness condition's Cb and Cr,optimized and improved the skin color model.Secondly,to determine human eye and the mouth characteristic position after person face region's determination,we obtained from mathematics morphology method,first designed mathematics morphology filter to obtain the complete person face region by using mathematics morphology's filter function,then designed the region mathematics morphology template examination algorithm which could change the divided size automatically,to pinpoint human eye and mouth's position through the human eye and mouth's shape in binary image, mathematics morphology template principle and according to the human eye and the mouth characteristic structure in binary image's area size.Finally it designed and realized a face detection and features location system in color image.The experimental results show that the method of the paper can location the human's eyes and mouth fast and accurate,the program running time is short,it has a certain real-time character,and it has a certain theoretical meaning and practical value.