DocumentCode :
2178864
Title :
The Eyelids Distance Detection in Gray Scale Images
Author :
Fathi, Abdol Hossein ; Mohammadi, Fardin Abdali ; Manzuri, Mohammad Taghi
Author_Institution :
Fac. of Comput. Eng., Sharif Univ. of Technol., Tehran
fYear :
2006
fDate :
Oct. 18 2006-Sept. 20 2006
Firstpage :
937
Lastpage :
940
Abstract :
In this paper a new method for finding the distance between eyelids, in order to determine the open or closed state of eye, has been introduced. For this aim, first the gray scale image of eye region is converted into a binary image. Next, a differential variance projection function is applied on the binary image of eye region in horizontally direction to show the uppermost and lowest points on the eyelid edges. Having the distance between these two points, the distance between two eyelids will be obtained. This distance may be used as a criterion in recognizing the open or closed state of eye. We have used numerous and different images to evaluate the efficiency of the presented method, and the obtained results have convinced us that the applied algorithm is efficient
Keywords :
image processing; object detection; binary image; differential variance projection; eyelids distance detection; gray scale images; Eyelids; Face detection; Facial features; Humans; Image converters; Image edge detection; Image resolution; Iris; Security; Sleep; Binary Image; Eyelids Distance; Variance Projection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technologies, 2006. ISCIT '06. International Symposium on
Conference_Location :
Bangkok
Print_ISBN :
0-7803-9741-X
Electronic_ISBN :
0-7803-9741-X
Type :
conf
DOI :
10.1109/ISCIT.2006.339914
Filename :
4141353
Link To Document :
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