Author(s): S. Pandita, S. P. Narote
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Vol.2 - Issue 1 (January - 2013)
Gesture refers to expressive movement of human body parts having a particular message to be communicated to a receiver. Gesture recognition pertains to understanding meaning of human body part movement,which involves the movement of hand, face, head, arms or body .Today°«s world is witnessing enormous improvements in processing speeds and visualization displays, but still input devices for the most part have lagged behind, presenting a bottleneck in applications. Gesture recognition is very important in designing an efficient HCI. This paper presents a method for recognizing hand gestures by extracting distinctive invariant features fromimages that can be used to perform efficient matching between different views ofa hand gesture. The features are invariant to image scale and rotation, and provide robust matching across a considerable range of affine distortion,change in 3D viewpoint, addition of noise, and change in illumination .
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