Face Detection And Eye Location Based On The Skin Color And Face Characteristics

The technology of identity authentication that bases on biological characters is developing quickly. Compared with other biometrics technology, face recognition is more convenient ,direct and friendly. So, it becomes to be one of the hottest research domains. Face detection is an important pre-processing stage, and the main function is to separate the face from the background. Face detection technology, as one of the typical applications of image analysis and understanding, is an important research subject among computer vision and pattern recognition areas. Its research involves in many advanced technologies, such as pattern recognition , computer vision, artificial intelligence,image processing. Many real applications, for example, digital products, safety surveillance systems, human-computer interaction, adopt face detection technology; therefore this technology possesses great commercial and usage value.In color images, the skin-color is important information of face. It is stable, and independent of detail's characteristics. The skin-color has a good character of clustering in color space. According to this character, much background factor can be discarded directly.This paper proposes a method that is capable of segmenting color archives images and locating eyes rapidly to the different background. Firstly, execute illumination compensation for images. Then, segment the image according to the skin-color's clustering characteristic in the YCbCr color space and elliptical model, and detect the face region, and use the filtering method based on 'the pixel density' to remove the noise of big area. Lastly, utilize the structural characteristic and symmetrical information of human face to locate the eyes accurately. Experimental results prove that this method could locate eyes exactly, and it is robust for the images with different background, bespectacled, as well as images existing expression changes.