Motivated by increasing possibility of the tampering of genuine documents during a transmission over digital channels, we focus on developing a watermarking framework for determining whether a received document is genuine or falsified, which is performed by hiding a security feature or secret information within it. To begin with, the input document is transformed into a standard form to minimize geometric distortion. Fully convolutional network (FCN) is utilized to detect document’s watermarking regions. Next, we construct hiding patterns used for hiding secret information. Modifying pixel values of these patterns for carrying secret bits depends on the edge and corner features of document content and the connectivity of their neighboring pixels. Lastly, the watermarking process is conducted by either changing the center pixel of the hiding patterns or changing the ratio between the number of edge features and the number of corner features of subregions within the watermarking regions. The experiments are performed on various binary documents, and our approach gives competitive performance compared to state-of-the-art approaches.

中文翻译：

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使用完全卷积网络的二进制文件安全性问题的鲁棒水印方法

由于在数字通道上传输篡改真实文档的可能性越来越大，因此，我们着重于开发一种用于确定接收到的文档是真实的还是伪造的水印框架，该框架通过在其中隐藏安全特征或秘密信息来执行。首先，将输入文档转换为标准形式以最大程度地减少几何变形。全卷积网络（FCN）用于检测文档的水印区域。接下来，我们构造用于隐藏秘密信息的隐藏模式。修改这些模式的像素值以携带秘密位取决于文档内容的边缘和角落特征及其相邻像素的连接性。最后，通过改变隐藏图案的中心像素或改变水印区域内的子区域的边缘特征的数量与拐角特征的数量之间的比率来进行水印处理。实验是在各种二进制文件上进行的，与最新技术相比，我们的方法具有竞争优势。