An Effective Eye Location for Face Recognition


The KIPS Transactions:PartB , Vol. 12, No. 2, pp. 109-114, Apr. 2005
10.3745/KIPSTB.2005.12.2.109,   PDF Download:

Abstract

Many researchers have been interested in user authentication using biometric information, and face recognition is a lively field of study of ones in the latest biometric recognition field because of advantage that it can recognize who he/she is without touching machinery. This paper proposes method to extract eye location effectively at face detection step that is precedence work of face recognition. The iterative threshold selection was adopted to get a proper binary image and also the Gaussian filter was used to intensify the properties of eyes to extract an eye location. The correlation was adopted to verify if the eye location is correct or not. Extraction of an eye location that propose in paper as well as accuracy, considered so that may can apply to online system, and showed satisfactory performance as result that apply to on line system.


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Cite this article
[IEEE Style]
J. N. Jung and P. K. Rhee, "An Effective Eye Location for Face Recognition," The KIPS Transactions:PartB , vol. 12, no. 2, pp. 109-114, 2005. DOI: 10.3745/KIPSTB.2005.12.2.109.

[ACM Style]
Jo Nam Jung and Phill Kyu Rhee. 2005. An Effective Eye Location for Face Recognition. The KIPS Transactions:PartB , 12, 2, (2005), 109-114. DOI: 10.3745/KIPSTB.2005.12.2.109.