Real time classification of American sign language for finger spelling purpose

Real time communication with use of sign languages is addressed. Sign language used in this study is performed in uniform lighting conditions. The system looks at image processing of the hand gestures followed by some feature extraction techniques to verify the gesture. Different classification techniques and logics are applied to classify the images and results are compared experimentally. Conditional classification is also used in the research to test for accuracy and is compared with previous results