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Published Articles >> Table of Contents >> Abstract
International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 1
p. 45
Face Recognition Using Interpolated Bezier Curve Based Representation
Sarbajit Pal, 1/AF Saltlake, Kolkata, India
P. K. Biswas, Indian Institute of Technology, Kharagpur, India
Ajith Abraham, Oklahoma State University, USA
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITCC.2004.1286424
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| Abstract |
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This paper proposes an efficient face recognition
scheme, which incorporates certain methods. In this
scheme, edges are obtained from sobelled face images.
The major feature areas are segmented and principal
curves are obtained by applying thinning algorithm on
the features of resulting face image. A modified
thinning algorithm based on line sweep procedures is
used. A line sweep is a process where the plane is
divided into parallel slabs by lines passing through
certain "events" and then items are processed
according to an order of the slabs [A Line Sweep thinning Algorithm]. A new method
for Bezier contour point interpolation is used after
locating the two end points of the curve on the prime
facial features. The two control points of a Bezier
curve are interpolated by this method. The Bezier
points i.e. the two end points of a curve and the two
control points, form the line segments whose Hausdroff
distances are calculated as specified in the algorithm
discussed in this paper. The recognition rate is 100%
on normal faces and also on faces with some simple
expressions.
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 Additional Information
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Citation:
Sarbajit Pal, P. K. Biswas, Ajith Abraham,
"Face Recognition Using Interpolated Bezier Curve Based Representation,"
itcc,
p. 45,
International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 1,
2004
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