Abstract—Human face can be identified by different biometric features, which are genetic properties of a human being. If the biometric features can be extracted from a facial image then they can be used for face recognition. This paper proposes a method to detect eye in human face by using boundary value analysis. Rejecting the area outside the boundary and performing further processing using template based approach on inside boundary values.
Index Terms—Threshold, boundary value, normalisation, connected components.
A. Hemlata is with the Jabalpur Engineering college, Jabalpur, M.P. India (e-mail: a.hemlata@rediffmail.com).
M. Motwani was with Jabalpur Engineering college, Jabalpur, M.P., India. He is now with the Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal (e-mail: mahesh.7@sify.com ).
Cite: A. Hemlata and Mahesh Motwani, "Fast Eye Detection Using Boundary Value and Template Based Method," International Journal of Computer Theory and Engineering vol. 4, no. 6, pp. 880-883, 2012.
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