AN APPRAISAL OF AUTOMATED HAND GESTURE RECOGNITION TECHNIQUES

Hand gesture segmentation for identification and prediction analysis has been aprevalent topic in the community of researchers working field image processing andcomputer vision. gestures were used by humans to signify various expressions, moods andactions. The advent intelligent devices made hand recognition even more interesting.Many have worked on interfaces that use its operations.Various state art techniques critically analyzed. Amethod using Hahn moments neural networks proposed. A subsequent comparative studyhas drawn terms performance proposed other competitive techniques. It wasobserved technique was quite accurate efficient.