Presentation 2004/7/22
An Algorithm for Detecting the Center of the Iris Using a Color Image and Improvements of Its Processing Speed
Tetsuya YONEZAWA, Koichi OGATA, Kazuyuki SHIRATANI,
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Abstract(in English) We have studied a man-machine interface system using an iris center detected from a color image of the eye. Users of this system are the handicapped who have no movement of their hands and head. Conditions for the use of this system are to use under ceiling lights, to attach a video-camera in front of the user's head, and for the user's head not to move. In this paper we describe an algorithm for detecting the iris center from a color image of the eye. We report that the processing speed of the proposed algorithm is faster than our early algorithm. We discuss detection accuracy for gazing some targets on the Goldmann perimeter.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Color Images / Filtering in HSI Space / Pattern Matching / Improvements of Processing Speed / the Goldmann Perimeter
Paper # NLC2004-10,WIT2004-37
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Committee NLC
Conference Date 2004/7/22(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Algorithm for Detecting the Center of the Iris Using a Color Image and Improvements of Its Processing Speed
Sub Title (in English)
Keyword(1) Color Images
Keyword(2) Filtering in HSI Space
Keyword(3) Pattern Matching
Keyword(4) Improvements of Processing Speed
Keyword(5) the Goldmann Perimeter
1st Author's Name Tetsuya YONEZAWA
1st Author's Affiliation Department of Information and Electronics Engineering, Yatsushiro National College of Technology()
2nd Author's Name Koichi OGATA
2nd Author's Affiliation Faculty of Engineering, Kumamoto University
3rd Author's Name Kazuyuki SHIRATANI
3rd Author's Affiliation Graduate School of Science and Technology, Kumamoto University
Date 2004/7/22
Paper # NLC2004-10,WIT2004-37
Volume (vol) vol.104
Number (no) 234
Page pp.pp.-
#Pages 6
Date of Issue