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A new blind digital watermarking algorithm based on wavelet packet transform and BP Neural Network was proposed in this paper. The algorithm first decomposed the host image via discrete wavelet packet transform, then embedded water-marking into the position which was chosen by the key in wavelet image. In the process of embedding watermarking, eight neighborhood pixels around the embedded point was selected as sample input of the BP neural network, and the pixel value of the embedded point was chosen as the ideal output, finally, trained the neural network. Using the trained neural network, blind watermarking extraction was achieved.