In this paper，a new method of gesture recognition is proposed，which combines orientation histogram vector(OHV) and neural net(NN)．Its high light is that OHV is selected as the feature vector of gestures，which is robust to illumination and translation and these two problems are very important in gesture recognition．In the training stage，a database of feature vectors is set up；In the recognition stage，a three layer BP neural net is selected tO classify gestures and the recognition rate is above 90％．The recognition of gestures after turning some angle is also discussed in this paper，the result is satisfying．

基于方向直方图和神经网络的手势识别.pdf

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