A Study on Human Eye Detection in a Color Image Based on Harris Corner Detector and Sobel Edge Operator

Abstract

A study is made to detect human eye from a color face image (in RGB space) using Harris corner detector and Sobel edge operator. Morphological operation like dilation and erosion are also applied to make the edge of the eyes sharp and prominent. This study is found to yield 90.47% eye detection rate which is comparable with the same obtained by other standard algorithm.

Authors and Affiliations

Dibyendu Ghoshal| Department of Electronics & Communication Engineering, National Institute of Technology, Agartala, India dghoshal_diet@rediffmail.com, Alak Das| Department of Computer Science & Engineering, Tripura University (A Central University), Agartala, India alakdas805@yahoo.com

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A Study on Human Eye Detection in a Color Image Based on Harris Corner Detector and Sobel Edge Operator

A study is made to detect human eye from a color face image (in RGB space) using Harris corner detector and Sobel edge operator. Morphological operation like dilation and erosion are also applied to make the edge of the...

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  • EP ID EP8288
  • DOI -
  • Views 496
  • Downloads 21

How To Cite

Dibyendu Ghoshal, Alak Das (2012). A Study on Human Eye Detection in a Color Image Based on Harris Corner Detector and Sobel Edge Operator. International Journal of Electronics Communication and Computer Technology, 2(3), 130-133. https://www.europub.co.uk/articles/-A-8288