Spelled sign word recognition using key frame PROJECT TITLE :Spelled sign word recognition using key frameABSTRACT:During this study, the authors gift a new system for sign language hand gesture recognition. Using video input, the system can recognise any spelled word or alphabetic sequence signed in American Sign Language. The 3 main steps in the recognition process embody detection of the region of interest (the hands), detection of key frames and recognition of gestures from these key frames. The proposed segmentation algorithm distinguishes regions of interest from each uniform and non-uniform backgrounds with an efficiency of 95p.c. The proposed key frame detection algorithm achieves an efficiency of 96.fifty%. A rotation-invariant algorithm for feature extraction is additionally proposed, which provides an overall gesture recognition potency of 84.2percent. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Stuck Bits Study in DDR3 SDRAMs Using 45-MeV Proton Beam Biological investigations using a triple-cubesat