Segmentation and Recognition of Fingers Using Microsoft Kinect

Hand gesture identification is a very important part of HCI. In this paper, I have presented a very efficient algorithm for finger segmentation. Using fingers as an input medium, our interaction with the computer can become easier. Microsoft Kinect, which is a depth sensor is used to capture the image which is used for finger segmentation. Background is removed from the captured image by accepting pixels, which fall in a fixed range of depth. The image is further pre-processed and then palm area is identified and removed to obtain separate fingers. Further, to identify open fingers as gesture-kNN classifier is used. This proposed algorithm has achieved more than 90 % accuracy.