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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/10195

Title: A hybrid method for eyes detection in facial images
Authors: Shafi, Muhammad
Chung, Paul Wai Hing
Keywords: Erosion
Dilation
Edge-density
Issue Date: 2008
Publisher: © World Academy of Science, Engineering and Technology (WASET)
Citation: SHAFI, M. and CHUNG, P.W.H., 2008. A hybrid method for eyes detection in facial images. IN: Proceedings of World Academy of Science, Engineering and Technology International Conference on Computer Science Singapore, 32, pp. 99 - 104
Abstract: This paper proposes a hybrid method for eyes localization in facial images. The novelty is in combining techniques that utilise colour, edge and illumination cues to improve accuracy. The method is based on the observation that eye regions have dark colour, high density of edges and low illumination as compared to other parts of face. The first step in the method is to extract connected regions from facial images using colour, edge density and illumination cues separately. Some of the regions are then removed by applying rules that are based on the general geometry and shape of eyes. The remaining connected regions obtained through these three cues are then combined in a systematic way to enhance the identification of the candidate regions for the eyes. The geometry and shape based rules are then applied again to further remove the false eye regions. The proposed method was tested using images from the PICS facial images database. The proposed method has 93.7% and 87% accuracies for initial blobs extraction and final eye detection respectively.
Description: This is a conference paper.
URI: https://dspace.lboro.ac.uk/2134/10195
ISSN: 2070-3740
Appears in Collections:Conference Papers (Computer Science)

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