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- W1566675030 abstract "In this paper, a novel optimal watermark detection scheme based on support vector machine and error correcting codes is proposed. To extract the watermark bits from a possibly corrupted marked image with a lower error probability, we apply both the good generalization ability of support vector machine and the error correction code BCH. Due to the good learning ability of support vector machine, it can learn the relationship between the embedded information and corresponding watermarked image; when the watermarked image is attacked by some intentional or unintentional attacks, the trained support vector machine can recover the right hidden information bits." @default.
- W1566675030 created "2016-06-24" @default.
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- W1566675030 date "2004-01-01" @default.
- W1566675030 modified "2023-09-29" @default.
- W1566675030 title "Optimal Watermark Detection Based on Support Vector Machines" @default.
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- W1566675030 doi "https://doi.org/10.1007/978-3-540-28647-9_91" @default.
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