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Article:Template Matching based Eye Detection in Facial Image

by Nilamani Bhoi, Mihir Narayan Mohanty
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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
10.5120/1676-2262

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 = { https://ijcaonline.org/archives/volume12/number5/1676-2262/ },
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
Abstract

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.

References
  1. Kawaguchi T. and Rizon M., “Iris detection using intensity and edge information,” Pattern Recognition, vol. 36, pp. 549–562, 2003.
  2. Baskan S., Bulut M., and Atalay V., “Projection based method for segmentation of human face and its evaluation,” Pattern Recognition Letters, vol. 23, pp.1623–1629, 2002.
  3. Sirohey S., Rosenfiled A., and Duric Z., “A method of detection and tracking iris and eyelids in video,” Pattern Recognition, vol. 35, pp. 1389–1401, 2002.
  4. D’Orazio T., Leo M., Cicirelli G., and Distante A., “An algorithm for real time eye detection in face images,” in Proc. 17th Int. Conf. on Pattern Recognition, vol. 3, pp. 278–281, 2004.
  5. Vezhnevets V., Degtiareva A., "Robust and Accurate Eye Contour Extraction", Proc. Graphicon-2003, pp. 81-84, Moscow, Russia, September 2003.
  6. Reinders M., "Eye tracking by template matching using an automatic codebook generation scheme", Third annual conference of the Advanced School for Computing and Imaging, pp. 85-91, Heijen, The Netherlands, June 1997.
  7. Yuille A.L., Hallinan P.W., Cohen D.S., “Feature extraction from faces using deformable templates”, International Journal of Computer Vision, vol. 8, no. 2 pp. 99-111, 1992.
  8. Lam K.M., Yan H., “Locating and extracting the eye in human face images”, Pattern Recognition, vol. 29, no. 5 pp.771-779, 1996.
  9. Saber E. and Tekalp A.M., "Frontal-view face detection and facial feature extraction using color, shape and symmetry based cost functions", Pattern Recognition Letters, vol. 19, no. 8, pp. 669--680, 1998.
  10. Jeng, S.H., Liao, H.Y.M., Han, C.C., Chern, M.Y., Liu, Y.T., “Facial Feature Detection Using Geometrical Face Model: An Efficient Approach”, Pattern Recognition, vol. 31, no. 3, pp. 273-282, 1998.
  11. Takacs, B., Wechsler, H., "Detection of faces and facial landmarks using iconic filter banks", Pattern Recognition, vol. 30, no. 10, pp. 1623-1636, 1997.
  12. Feng, G.C., Yuen, P.C., “Variance Projection Function and its Application to Eye Detection for Human Face Recognition”, Pattern Recognition Letters, vol. 19, pp. 899-906, 1998.
  13. Zhou Z.H. and Geng X., "Projection Functions for Eye Detection", Pattern Recognition, vol. 37, no.5, pp. 1049-1056, 2004.
  14. Kumar, Thilak R and Raja, Kumar S and Ramakrishnan, “Eye detection using color cues and projection functions”, Proceedings 2002, International Conference on Image Processing, ICIP, vol. 3, 337-340, Rochester, New York, USA, 2002.
  15. Feng G.C. and Yuen Pong C., "Multicues eye detection on gray intensity image", Pattern Recognition. vol. 34, pp. 1033-1046, 2001.
  16. Huang J. and Wechsler H., “Eye Detection Using Optimal Wavelet Packets and Radial Basis Functions (RBFs)”, International Journal of Pattern Recognition and Artificial Intelligence, vol. 13 no. 7, 1999
  17. Sirohey S.A. and Rosenfeld A., "Eye detection in a face image using linear and nonlinear filters", Pattern Recognition, vol. 34, pp. 1367-1391, 2001.
  18. Pentland A., Moghaddam B., Starner T., “View-based and modular eigenspaces for face recognition”, Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Seattle, WA, pp.84-91, 1994.
  19. Gonzalez R.C., Woods R.E., “Digital Image Processing,” 2nd ed. Prentice Hall India, 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Eye detection template matching Cross-correlation pattern recognition

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