文件名称:IMECS2010_pp130-133
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This paper presents a novel adaptive algorithm to
detect the center of pupil in frontal view faces. This algorithm, at
first, employs the viola-Jones face detector to find the approximate
location of face in an image. The knowledge of the face structure
is exploited to detect the eye region. The histogram of the detected
region is calculated and its CDF is employed to extract the eyelids
and iris region in an adaptive way. The center of this region is
considered as the pupil center. The experimental results show
ninety one percent’s accuracy in detecting pupil center.
detect the center of pupil in frontal view faces. This algorithm, at
first, employs the viola-Jones face detector to find the approximate
location of face in an image. The knowledge of the face structure
is exploited to detect the eye region. The histogram of the detected
region is calculated and its CDF is employed to extract the eyelids
and iris region in an adaptive way. The center of this region is
considered as the pupil center. The experimental results show
ninety one percent’s accuracy in detecting pupil center.
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IMECS2010_pp130-133.pdf
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