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Automatic extraction of filled information from bankchecks

机译:自动从银行支票中提取已填写的信息

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Presents a technique for extracting the filled information from bankchecks. We have analyzed the bankchecks characteristics and propose a model that can be used to locate and extract the filled information of any bankcheck. This model is based on prior knowledge about check layout structure and in check identification through reading the magnetic ink character recognition line. The redundant information, such as the background pattern, and printed lines and characters, is eliminated from the check image. We maintain a sample of the check's background pattern stored and use it in order to eliminate the original background pattern from digitized checks. Next, the areas where the filled information is supposed to appear are extracted through a template. The baselines are eliminated using an approach based on projection profiles, while the printed characters are eliminated through a subtraction operation. Experimental results from testing real Brazilian bankchecks show that the proposed method is capable of extracting the filled items from bankchecks as an accuracy rate of 88.7-98.3%.
机译:提出了一种从银行支票中提取已填充信息的技术。我们已经分析了银行支票的特征,并提出了可用于定位和提取任何银行支票的已填充信息的模型。该模型基于有关支票布局结构和通过读取磁性墨水字符识别线进行支票识别的先验知识。从支票图像中消除了诸如背景图案,印刷线条和字符之类的多余信息。我们维护所存储支票背景图案的样本,并使用它来从数字化支票中消除原始背景图案。接下来,通过模板提取应该出现填充信息的区域。使用基于投影轮廓的方法消除基线,而通过减法运算消除打印字符。通过测试真实的巴西银行支票的实验结果表明,该方法能够从银行支票中提取填充项,准确率为88.7-98.3%。

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