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  • 标题:Eye Detection Based-on Color and Shape Features
  • 本地全文:下载
  • 作者:Aryuanto Soetedjo
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2012
  • 卷号:3
  • 期号:5
  • DOI:10.14569/IJACSA.2012.030504
  • 出版社:Science and Information Society (SAI)
  • 摘要:This paper presents an eye detection technique based-on color and shape features. The approach consists of three steps: a rough eye localization using projection technique, a white color thresholding to extract white sclera, and an ellipse fitting to fit the ellipse shape of eye. The proposed white color thresholding utilizes the normalized RGB chromaticty diagram, where white color objects are bounded by a small circle on the diagram. Experimental result shows that the proposed technique achieves a high eye detection rate of 91%.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; eye detection; color thresholding; ellipse fitting.
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