HAND GESTURE RECOGNITION USING STATISTICAL
AND ARTIFICIAL GEOMETRIC METHODS: A SURVEY
Computer Applications: An International Journal (CAIJ),, 3 (3):
1-8 (August 2016)Abstract
Gesture recognition represents the silent language that can be done with robots as well as they done to us,
this overseas language ensures that everyone can understand the meaning of the gesturing as well as can
reply and interact with. Because of that this silent language has chosen for deaf people in which can make
their communication easier between each of them as well as with other people.
In this paper we have brought to the table two different outstanding gesture recognition systems, those two
techniques achieved high ratio of recognition percentage as well as that are invariant-free techniques,
especially rotation perturbation that hinders the achievement of high level recognition percentage, the first
method is the recognition of hand gesture with the help of dynamic circle template and second one using
variable length chromosome generic algorithm, these two methods has been applied to different people and
the main objective was to reduce the database size used for training.