HMT of the Ranklet Transform for Face
Recognition and Verification
Mahmoud A. Ismail and Reda A. El-Khoribi
Faculty of Computers and Information, Cairo University
Giza, Egypt
Abstract:
This paper introduces the Hidden Markov Tree (HMT) of the
ranklet transform as a new face recognition and verification
system. The HMT has been used in modeling the face images
where the ranklet transform serve as features. The proposed
system is evaluated on a large database of people obtaining
highly competitive and promising results.
Keywords:
Face Recognition, Face Verification, Hidden Markov Tree,
Ranklet Transform.
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Mahmoud A. Ismael,
Associate Prof. Faculty
of Computers and Information, Cairo University,
Egypt. PhD in Computers and Systems Engineering,
Ain Shams University 1998. MSC in Electronics and
Communication Engineering, Faculty of Engineering,
Cairo University, 1994. BSC in Electronics and
Communication Engineering, Faculty of Engineering,
Cairo University, 1990. He is currently in the
Information Technology department of the faculty of
Computers and Information, Cairo University. His
research interests include: Speech recognition,
pattern classification, signal processing and
artificial intelligence.
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Reda A. El-Khoribi,
Associate Prof.,
Faculty of Computers and Information, Cairo
University, Egypt. PhD in Electronics and
Communications Engineering, Cairo University
1998. MSC in Electronics and Communication
Engineering, Faculty of Engineering, Cairo
University, 1993. BSC in Electronics and
Communication Engineering, Faculty of Engineering,
Cairo University, 1988. He is currently in the
Information Technology department of the faculty of
Computers and Information, Cairo University. His
research interests include: Image processing and
Computer vision, pattern classification, signal
processing, computer graphics and artificial
intelligence.
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BibTex:
@ARTICLE{P1150634001,
AUTHOR = {Mahmoud A. Ismail and Reda A.
El-Khoribi},
TITLE = {HMT of the Ranklet Transform for
Face Recognition and Verification},
JOURNAL ={ICGST International Journal on Graphics, Vision and Image
Processing},
YEAR = {2006},
VOLUME = {6},
ISSUE ={3},
PAGES={7--13}
}
( Full Paper523KB)
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