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Image-based techniques for shredded document reconstruction

机译:基于图像的文档重建技术

摘要

An image-based technique for shredded document reconstruction includes the steps of: employing an image processing process to obtain shred images of the shredded document, and then extracting several features of shred images for reconstruction with two similarity measures, and then employing an algorithm using the shred coding scheme and average word length that is insensitive to the shredding noise on image boundaries, and then a weighted digraph is then carried out to derive the optimal shred sorting result for document reconstruction in terms of the shortest path. Experiments are presented for both the synthetic and real data sets. The results show that the proposed method has correctly merged the majority of the shredded document.
机译:基于图像的切碎文档重建技术包括以下步骤:采用图像处理过程获得切碎文档的切碎图像,然后通过两个相似性度量提取切碎图像的多个特征以进行重建,然后采用一种算法使用切分编码方案和对图像边界上切分噪声不敏感的平均字长,然后执行加权图,以最短路径得出用于文档重建的最佳切分排序结果。提出了针对合成和真实数据集的实验。结果表明,该方法已正确合并了大部分文档。

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