Sign language recognition based on Hu invariant moments and euclidean distance
Xia Li-na · Jisuanji gongcheng yu sheji · 2011
To increase accuracy rate of sign language recognition,a recognition method based on Hu invariant moments and euclidean distance of sign language image is introduced.Firstly,its 7Hu moments are calculated,the recognition of 30 letter gestures is performed by computing distance between matching and template image to recognize image.The algorithm remains constant when the image rotates,transfers and scales.The method overcomes the impact of illumination in capturing image and marginal information loss caused by image segmentation.The experiments show the validity of this method especitaly a successful result of images with a high rate of pepper-and-salt noise.