24-08-2013, 04:34 PM
Shape, Texture and Local Movement Hand Gesture Features for Indian Sign Language Recognition
ABSTRACT
They proposed an approach which addresses local-global ambiguity identification,inter-class variability enhancement for each hand gesture.
They analyzed the shape, texture and finger features of each hand are extracted using Principle Curvature Based Region (PCBR) detector, Wavelet Packet Decomposition (WPD-2) and complexity defects algorithms respectively for hand posture recognition process.
Their Experimental results are compared with the conventional and existing algorithms to prove the better efficiency of the proposed approach.