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A semi-automatic deshredding method based on curve matching

机译:一种基于曲线匹配的半自动Deshredding方法

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We present a semi-automatic method to reconstruct shredded documents. The novelty of the method lies in the way it performs pairwise matching of chads. The technique divides chad contours into curves using corner detection and introduces a procedure to assess the match of two curves. The proposed curve matching technique is robust to translation and rotation and can cope with shape deformations due to shredding by allowing overlapping of chads during matching. The alignment of text lines, crossing characters and color information on the chads is also utilized to improve matching performance. Visual interfaces are designed to allow for user input in identifying correctly matching chad pairs and reconstructing the document. The effectiveness of the method is demonstrated by solving the first and second puzzles of the DARPA shredder challenge.
机译:我们介绍了一个半自动方法来重建碎片的文档。 该方法的新颖性在于它执行乍得的成对匹配的方式。 该技术将乍得轮廓划分为使用拐角检测的曲线,并介绍评估两条曲线匹配的过程。 所提出的曲线匹配技术是鲁棒的转换和旋转,并且可以通过允许在匹配期间通过乍得重叠来应对由于粉碎而导致的形状变形。 还利用了文本线,交叉字符和颜色信息对乍得的对齐来提高匹配性能。 视觉接口旨在允许用户输入识别正确匹配的Chad对并重建文档。 通过解决DARPA粉碎机挑战的第一和第二谜题来证明该方法的有效性。

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