الفهرس 
Background & literature reviewOnly 14 pages are availabe for public view
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Abstract
The need to identify people is as old as humankind. People recognize each other by sight and
sound. However, in today ’s complex society, it’s impossible to personally know everyone. Biometric
devices automate the personal recognition process. Each of us is unique from every other
human being. We have unique physical characteristics, such as hand shape, blood vessel patterns and
fingerprints. Biometric devices measure and record these characteristics for automated comparison
and verification.
The thesis presents an Automatic Hand Geometry Verification System (AHVS) which is comprised of:
(1) Data acquisition stage. (2) Preprocessing stage where problems such as: i-Binarization,
ii-Edge detection, iii-Thinning and iv-Tracing are covered and solutions are provided. (3) Feature
extraction stage where the feature vector is obtained. (4) Matching stage (which is the
major
contribution of this thesis) with a reference database of hand images.
A new algorithm is proposed for the extraction of the hand geometry characteristic features based
on anatomical landmarks (fingertips and bottom of valleys between fingers). These features are
extracted from the plan of the 2D-hand image captured by an infrared CCD camera. These features can
be used for the verification process. Image processing operations are used to get forty five
anatomical landmarks. Thirty measures are extracted automatically based on this 45-points hand
model. These features are the finger lengths, finger areas, finger circumferences, and finger
widths at different heights of the different fingers of the right hand as well as the radius of the
hand center.
At last, in order to evaluate the matching stage, the algorithm has been tested on an
experimental data set collected by the designed system consisting of
500 hand images for 100 persons from the general public in different ages, and it showed up to
99.68 percent rate of success.