Document image matching and annotation lifting

Ming Ye, M. Bern, David Goldberg
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引用次数: 10

Abstract

Two images of the same document could differ significantly due to faxing, scanner distortions, or degradation through multigeneration copying. Additionally, one of the images may have extensive annotations not present in the other. We give a method for registering two such images and separating out annotations. We further present an algorithm for detecting and repairing broken strokes in the annotations. Our methods have been tested on a wide variety of documents with reliable results; for the special case of form dropout our results are better than had been obtained previously with special-purpose algorithms.
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文档图像匹配和注释提升
由于传真、扫描仪失真或多代复制造成的退化,同一文档的两幅图像可能存在显著差异。此外,其中一幅图像可能具有另一幅图像中没有的大量注释。我们给出了一种方法来注册两个这样的图像并分离注释。我们进一步提出了一种检测和修复注释中断笔的算法。我们的方法已经在各种各样的文件上进行了测试,结果可靠;对于形式丢失的特殊情况,我们的结果比以前用专用算法得到的结果要好。
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