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Improvement of postal mail sorting system

机译:邮件分拣系统的改进

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摘要

An efficient mail sorting system is mainly based on an accurate optical recognition of the addresses on the envelopes. However, the localizing 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. Consequently a good localizing step leads to a better recognition rate. The limits of current methods are mainly caused by modular linear architectures used for ABL and the lack of cooperation between modules: their performances greatly depend on each independent module performance. We are presenting in this paper a new approach for ABL based on a pyramidal data organization and on a hierarchical graph coloring for classification process. This new approach presents the advantage to guarantee a good coherence between different modules and it also reduces both the computation time and the rejection rate. The proposed method gives a very satisfying rate of 98% of good locations on a set of 750 envelope images.
机译:高效的邮件分拣系统主要基于对信封上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)的定位。定位步骤非常关键,因为它对系统的整体性能有很大影响。因此,良好的定位步骤可提高识别率。当前方法的局限性主要是由于用于ABL的模块化线性体系结构以及模块之间缺乏协作:它们的性能在很大程度上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金字塔数据组织和用于分类过程的层次图着色的ABL新方法。这种新方法的优点是可以保证不同模块之间的良好一致性,并且还可以减少计算时间和拒绝率。所提出的方法在一组750个信封图像上给出了良好位置的98%的非常令人满意的比率。

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