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Eyes extraction from facial images using edge density

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conference contribution
posted on 06.08.2009, 15:34 by Muhammad Shafi, Paul Chung
This paper proposes a novel method for eyes extraction in facial images using edge density information. The method is based on the observation that irrespective of skin colour, colour variations occur the most in the eye region. In the proposed method, edges are detected in the input facial image. Morphological dilation is applied twice and the holes are filled in the connected regions. This makes the high density edges regions appear as blobs. Certain shapes and geometrical rules are applied to these blobs to extract the eyes. The method was tested using images from the PICS facial images database. The accuracies of the initial blobs extraction and the final eyes extraction were 95% and 72% respectively.

History

School

  • Science

Department

  • Computer Science

Citation

SHAFI, M. and CHUNG, P.W.H., 2008. Eyes extraction from facial images using edge density. IN: 7th IEEE International Conference on Cybernetic Intelligent Systems, 2008. CIS 2008, 9-10th September, pp. 317-322

Publisher

© IEEE

Version

VoR (Version of Record)

Publication date

2008

Notes

This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

ISBN

9781424429141

Language

en

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