Hand-Geometry Based Recognition System - A Non Restricted Acquisition Approach
Hand-Geometry Based Recognition System - A Non Restricted Acquisition Approach
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Date
2012
Authors
Filipe Magalhães
Hélder Filipe Oliveira
Helder Matos
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Abstract
Hand-geometry biometric recognition is normally based on
the detection of five points that correspond to the fingertips and four
points between them (valley points). Specific methods often have to be
implemented during the acquisition stage to make the detection of those
points easier. This study presents techniques that have been developed
to overcome the difficulties and limitations of the current systems. Moreover,
a hand-geometry based recognition system that has no constraints
during image acquisition is presented.
A methodology was developed based on the hand skeleton for the
points on the fingertips and for the valley points it was based on the curvature
of the hand contour. The principal difficulties were found during
the segmentation step, which often fails if the fingers are not spread out.
Once the points have been located, the necessary features for authentication
were extracted. Classification algorithms were implemented at this
stage. Those showing the best results presen