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.
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