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The main findings of this study are as follows.
The green-noise diffused watermarking method is resistant to printing and scanning, and the embedded pattern is not easily visible. We extended this method to extract watermark information from cropped images by embedding markers. We used machine learning to improve the identifier accuracy and correct watermark extraction rate of over 95% are obtained from printed images. Furthermore, we embedded sub-information in the marker pattern to obtain accurate block synchronization from the cropped imagens.
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IEEE/ICACT20220093 Slide.23
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