Aimed at the influencing pattern of printing-scanning on image features, a zero-watermark scheme based on discrete wavelet transform and singular value decomposition was designed. The scheme robustness against printing-scanning could be applied in anti-counterfeiting authentication of packaging printing images. Firstly color images were converted to the Lab color space, then a wavelet decomposition was conducted on luminance component. The low frequency sub-graph was divided into non-overlap block, then singular value decomposition (SVD) on every sub-block was constructed. The largest singular value matrix was used to construct zero-watermark. The experimental results of simulation and printing showed that the scheme had good robustness for printing and scanning process.