The invention relates to an
image processing method for positioning eyes. The invention adopts a technical proposal that the method comprises the following steps of: acquiring an image of a face; and detecting the image of the face, establishing probability
support vector machine appearance models for three components including eyes and
nose respectively, establishing the
Gaussian distribution models of the measuring parameters of the
spatial structure of the three components respectively, redefining the length of three edges and establishing
Gaussian distribution models, establishing an enhanced image model, selecting candidate points of maximum appearance characteristic similarity and maximum
structural similarity as the optimal positions of a target, and determining the possibility of human eyes z1 and z2 or
nose z3 according to an appearance characteristic ui shown by the probability
support vector machine appearance models on the basis of the probability
support vector machine appearance models to position the eyes. The method overcomes the drawbacks in the prior art such as high requirements on
image resolution ratio, light and definition, and difficulty in the positioning of the human eyes in a complex environment accurately. The method establishes a high robustness space structural model starting from the appearance characteristics of eyes and the characteristics of the
spatial distribution structure of the eyes and the
nose and improves
human eye positioning accuracy.