说明：  出并设计了基于计算机视觉的手势识别系统。采用双肤色模型和背景自适应模型进行手势分割，解决纷乱背景 下实时手势分割问题。以傅里叶描述于表缸E手势轮廓，基于BP网络建立的手势识别分类器，具有较强的自学习能力，提高了 识别率。
(A hand gesture recogll主ti。n system which based on∞mputer vision is Prescn}ed in thi3 pape。A method of combinirlg double c010r-spatial model arld background—adaptive model is used for gesture segrllentation to solve the problem of dynaf试c gesture se鲫entati。n under intficate backgrourld Fourier descriptors of feature of gesture edge is extracted．Cla商fier of gesture recognition based on BP netw。rk hs higher self．1eaming abilit斗The recog一 工lition rate is impmved)