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A New Pyramidal Approach for the Address Block Location Based on Hierarchical Graph Coloring

机译:基于层级图形的地址块位置的新金字塔方法

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An efficient sorting mail system is mainly based on an accurate optical recognition of the envelopes addresses. However, the location of the address block (ABL) should be done before the OCR recognition process. The location step is very crucial as it has a great impact on the global performance of the system. Actually, a good location step leads to a better recognition rate. The limit of current methods depends on modular linear architectures used for ABL. Their performances depend on each independent module performance. We are presenting in this paper a new approach for ABL based on the hierarchical graph coloring and on the pyramidal organization of data that present the advantage to guarantee a good coherence between different modules and that reduces both the computation time and the rejection rate. The proposed method gives very satisfying rate of 98% of good location on a set of 750 envelope images.
机译:有效的分拣邮件系统主要基于信封地址的准确光学识别。但是,应在OCR识别过程之前完成地址块(ABL)的位置。位置步骤非常重要,因为它对系统的全球性能产生了很大影响。实际上,良好的位置步骤导致更好的识别率。当前方法的限制取决于用于ABL的模块化线性架构。他们的表演取决于每个独立的模块性能。我们在本文中介绍了一种基于分层图着色的ABL的新方法,并在具有保证不同模块之间保证良好的相干性并且减少计算时间和拒绝率的优势的新方法。该方法在一组750个信封图像上提供了非常满意的98%的良好位置。

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