Appearance-based Recognition of Hand Shapes for Sign Language in Low Resolution Image

Abstract

4th Asian Conference on Computer Vision, ACCV2000 : January 8-11, 2000 : TaiwanA sign language recognition system is required to use information from both global features, such as hand movements and locations, and local features, such as hand shapes and orientations We propose that a system acquires the images taken of the body of a person performing sign language, and selects possible words by detecting global features, then narrowing them of on the choices to one by using local features detected from the extracted low resolution hand images In this paper, we present an adequate local feature recognizer for a sign language recognition system. Our basic approach is to represent a set of local features with a cluster where they preliminary experiment is performed for verification of this recognition method. The experimental result indicates that our proposed method is fit for the sign language recognition system