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Selective authentication algorithm based on semi-fragile watermarking for vector geographical data

机译:基于半脆弱水印的矢量地理数据选择性认证算法

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Unlike the exact authentication, selective authentication only needs to provide the detection and location of significant revision. So, some subtle modification is allowed in some practical applications, such as data compression. Selective authentication can identify whether or not data is still useful after being modified. The purpose of this paper is to propose a selective authentication algorithm based on semi-fragile watermarks for vector geographical data. The proposed scheme simplifies the map by using the Douglas Peucker algorithm to obtain the feature points. First, the relationship between selective authentication and semi-fragile watermarking is analyzed. Then, the feature points are obtained by the Douglas Peucker algorithm. Furthermore, the feature points and non-feature points are embedded using different watermark embedding, detection and authentication rules. The experimental results indicate that the proposed algorithm has good invisibility, and is robust to compression, addition of noise, and deletion of points. Besides, the maximum watermarking error can be strictly controlled. The proposed algorithm can better meet the needs of the selective authentication for vector geographical data.
机译:与精确身份验证不同,选择性身份验证仅需要提供重要修订的检测和位置。因此,在某些实际应用中允许进行一些细微的修改,例如数据压缩。选择性身份验证可以识别修改后的数据是否仍然有用。本文的目的是提出一种基于半脆弱水印的矢量地理数据选择性认证算法。所提出的方案通过使用道格拉斯·皮克(Douglas Peucker)算法获得特征点来简化地图。首先,分析了选择性认证和半脆弱水印之间的关系。然后,通过道格拉斯·皮克(Douglas Peucker)算法获得特征点。此外,使用不同的水印嵌入,检测和认证规则来嵌入特征点和非特征点。实验结果表明,该算法具有良好的不可见性,对压缩,噪声增加和点删除具有较强的鲁棒性。此外,可以严格控制最大水印误差。该算法可以更好地满足矢量地理数据选择性认证的需求。

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