Automatic eye detection in human faces using geostatistical functions and support vector machines

Authors:
João Dallyson S. Almeida;Aristófanes C. Silva;Anselmo C. Paiva
Affiliations:
Federal University of Maranhão, MA, Brazil;Federal University of Maranhão, MA, Brazil;Federal University of Maranhão, MA, Brazil
Venue:
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Year:
2011

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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 four geostatistical functions - semivariogram, semimadogram, covariogram and correlogram and support vector machines. The method was tested using the ORL human face database, which contains 400 images grouped in 40 persons, each having 10 different expressions. The detection obtained the following results of sensibility of 93.3%, specificity of 82.2% and accuracy of 89.4%.