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An Efficient Method for Eye Detection in Color Images using Morphological Operations

by Md. Golam Moazzam, Kanija Muntarina, Naznin Sultana, Md. Ariful Islam Rana
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 2
Year of Publication: 2014
Authors: Md. Golam Moazzam, Kanija Muntarina, Naznin Sultana, Md. Ariful Islam Rana
10.5120/16568-6239

Md. Golam Moazzam, Kanija Muntarina, Naznin Sultana, Md. Ariful Islam Rana . An Efficient Method for Eye Detection in Color Images using Morphological Operations. International Journal of Computer Applications. 95, 2 ( June 2014), 23-27. DOI=10.5120/16568-6239

@article{ 10.5120/16568-6239,
author = { Md. Golam Moazzam, Kanija Muntarina, Naznin Sultana, Md. Ariful Islam Rana },
title = { An Efficient Method for Eye Detection in Color Images using Morphological Operations },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 2 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 23-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number2/16568-6239/ },
doi = { 10.5120/16568-6239 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:18:24.643902+05:30
%A Md. Golam Moazzam
%A Kanija Muntarina
%A Naznin Sultana
%A Md. Ariful Islam Rana
%T An Efficient Method for Eye Detection in Color Images using Morphological Operations
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 2
%P 23-27
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an efficient method for detecting human eye in a full frontal face color image. Eye regions are characterized by low illumination, high density edges and high contrast as compared to other parts in frontal face image. This method uses basic color image processing and morphological operation to detect eyes. Using color based training algorithm, this technique first extracts skin region of the input image. Then morphological operation is applied for detection of eye boundary and light source reflection of eye, also known as eye dot. It gives finite number of eye candidates from which noise is subsequently removed. For full frontal face images, this method is found highly efficient and accurate for eye detection.

References
  1. R. Brunelli, T. Poggio, "Face Recognition, Features versus templates", IEEE Trans. Patt. Anal. Mach. Intell. 15(10)(1993) 1042-1052.
  2. D. J. Beymer, "Face Recognition under varying pose", IEEE Proceedings of Int. Conference on Computer Vision and Pattern Recognition (CVPR'94), Seattle, Washington, USA,1994, pp. 756-761.
  3. Jiatao Song, Zheru Chi, and Jilin Liu, "A Robust Eye Detection Method Using Combined Binary Edge and Intensity Information", Science Direct, Pattern Recognition 39 (2006) 1110-1125.
  4. R. C. Gonzalez and R. E. Woods, "Digital Image Processing", 2nd edition, PHI.
  5. A. Pentland, B. Mognanddam, T. Starner, "View based and modular eigenspaces for face recognition", IEEE Proceedings of Int. Conference on Computer Vision and Pattern Recognition (CVPR'94), Seattle, Washington, USA, 1994, pp. 756-761.
  6. K. M. Lam, H. Yan, Locating and extracting eye in human face images, Pattern Recognition, 29(5)(1996) 771-779.
  7. A. L. Yuille, P. W. Hallinan, D. S. Cohen, "Feature Extraction From Faces Using Deformable Template", Int. J. Comput. Vision 8(2)(1992) 99-111.
  8. G. Chow, X. Li, "Towards a system of automatic facial feature detection", Pattern Recognition (26)(1993) 1739-1755.
  9. G. C. Fang, P. C. Yuen, "Multi cues eye detection on gray intensity image", Pattern Recognition (34)(2001) 1033-1046.
  10. G. C. Fang, P. C. Yuen, "Variance Projection function and its application to detection for human face recognition", Pattern Recognition Lett. 19(1998) 899-906.
  11. Z. H. Zhou, X. Geng, "Projection functions for eye detection", Pattern Recognition (37)(5)(2004) 1049-1056.
  12. S. A. Sirohey, A. Rosenfield, "Eye detection in a face image using linear and non linear filters", Pattern Recognition (34)(2001)(1367-1391).
  13. J. Huang, H. Wechsler, "Visual routines for eye localization using learning and evolution", IEEE Trans. Evol. Comput. (4)(1)(2000) 73-82.
  14. J. Wu, Z. H. Zhou, "Efficient face candidate selector for face detection", Pattern Recognition(36)(2003) 1175-1186.
Index Terms

Computer Science
Information Sciences

Keywords

Image conversion Skin detection Morphological operation Noise elimination Eye detection.

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