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Article:Template Matching based Eye Detection in Facial Image

by Nilamani Bhoi, Mihir Narayan Mohanty
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 5
Year of Publication: 2010
Authors: Nilamani Bhoi, Mihir Narayan Mohanty

Nilamani Bhoi, Mihir Narayan Mohanty . Article:Template Matching based Eye Detection in Facial Image. International Journal of Computer Applications. 12, 5 ( December 2010), 15-18. DOI=10.5120/1676-2262

@article{ 10.5120/1676-2262,
author = { Nilamani Bhoi, Mihir Narayan Mohanty },
title = { Article:Template Matching based Eye Detection in Facial Image },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 12 },
number = { 5 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 15-18 },
numpages = {9},
url = { },
doi = { 10.5120/1676-2262 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T20:00:53.477246+05:30
%A Nilamani Bhoi
%A Mihir Narayan Mohanty
%T Article:Template Matching based Eye Detection in Facial Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 5
%P 15-18
%D 2010
%I Foundation of Computer Science (FCS), NY, USA

Eye detection is a pre-requisite stage for many applications such as human–computer interfaces, iris recognition, driver drowsiness detection, security, and biology systems. In this paper, template based eye detection is described. The template is correlated with different regions of the face image. The region of face which gives maximum correlation with template refers to eye region. The method is simple and easy to implement. The effectiveness of the method is demonstrated in both the cases like open eye as well as closed eye through various simulation results.

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Index Terms

Computer Science
Information Sciences


Eye detection template matching Cross-correlation pattern recognition