Study of sign language recognition based on Gabor wavelet transforms

Sign language is the language of the deaf which used as major daily communication tool. Sign language recognition can not only provide convenience for the deaf and also personified as a research platform for human-computer interaction and it has important academic values and broad application prospects. The current field of pattern recognition, Gabor wavelet transform has been widely used. In this paper, two-dimensional Gabor wavelet transform in the field of sign language recognition is studied, while taking advantage of the knowledge of image processing to achieve a sign language analysis and identification. This paper presents sign language recognition method with fusion of facial information.