  Sign language is the fundamental communication method among people who suffer
from speech and hearing defects. The rest of the world doesn't have a clear
idea of sign language. "Sign Language Communicator" (SLC) is designed to solve
the language barrier between the sign language users and the rest of the world.
The main objective of this research is to provide a low cost affordable method
of sign language interpretation. This system will also be very useful to the
sign language learners as they can practice the sign language. During the
research available human computer interaction techniques in posture recognition
was tested and evaluated. A series of image processing techniques with
Hu-moment classification was identified as the best approach. To improve the
accuracy of the system, a new approach height to width ratio filtration was
implemented along with Hu-moments. System is able to recognize selected Sign
Language signs with the accuracy of 84% without a controlled background with
small light adjustments
