Automatic Eye Detection Using Semivariogram Function and Support Vector Machine

Abstract

Several computational systems which depend on the precise location of the eyes have been developed in the last decades. Aware of this need, we propose a method for automatic detection of eyes in images of human faces using semivariogram functions and support vector machines. Patterns of eyes region and other areas of the face are represented through the semivariogram function to precisely distinguish the region of the eyes. The method was tested in the ORL human face database, which contains 400 images grouped in 40 persons, each having 10 different expressions. The detection obtained results of sensitivity of 84.6%, specificity of 93.4% and accuracy of 88.45%.