DocumentCode :
1670362
Title :
Notice of Retraction
A Novel Method of Rapid Eye Location
Author :
Zhao Juan ; Zhao Jing-xiu
Author_Institution :
Coll. of Comput. Sci., Qufu Normal Univ., Rizhao
fYear :
2008
Firstpage :
2004
Lastpage :
2007
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

This paper describes a framework that is capable of segmenting archives (certification) images and locating eyes rapidly. First segment the image according to the skin-color´s characteristic of gather in the YCbCr color space, using the method of output feedback to remove the noise of big area, initially detecting the face regions. Then utilize structure characteristic and symmetrical information of human face, search for eyes rapidly from the middle of the face. Experimental results prove that this method could locate eyes exactly, and it is robust for the images illegible, with noise, eye-closed, asymmetric lightening as well as images existing regions that are similar with skin-color.
Keywords :
brightness; eye; face recognition; feedback; image colour analysis; image segmentation; medical image processing; RGB color space; brightness adjustment; color space conversion; face recognition; face region detection; image segmention; noise removal; output feedback method; rapid eye location; skin-color segmentation; Brightness; Colored noise; Computer science; Educational institutions; Eyes; Face detection; Face recognition; Humans; Image segmentation; Output feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Type :
conf
DOI :
10.1109/ICBBE.2008.830
Filename :
4535710
Link To Document :
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