This paper presents an approach of lip-movement features extraction and recognition based on chroma analysis.By the lip chromatic filter

enhanced lip-movement images are obtained.The contours are described and feature parameters are extracted using deformable templates.Sequence images of lip-movement with the features have been recognized by employing the HMM model.This method is quite robust to illumination and speaker independent

and it is fit for realistic surroundings under natural condition.It works out the problem of high resolution on object contours which deformable template needs

and makes itself more practicable.All lip-movement recognition experiments are based on visual information alone (without using acoustic information)

the experimental set is limited within single Chinese vowels

and the accuracy rate of recognition gets up to 95.8%.