基于贝叶斯规则的地址块提取

T. Kagehiro, Masashi Koga, H. Sako, H. Fujisawa
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引用次数: 13

摘要

开发了一种从邮件图像中提取收件人地址块的方法。该方法由两个步骤组成:指定候选地址块,并根据每个地址块类型使用贝叶斯规则对候选地址块进行评估。因此,该方法可以处理各种类型的地址块。在多个地址提取实验中验证了该方法的有效性。这些实验表明,在94%的印刷邮件和89%的手写邮件中,前5名的提取结果包括一个正确的地址块。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Address-block extraction by Bayesian rule
A method for extracting a recipient address-block from a mail image has been developed. The method is composed of two steps: nomination of address-block candidates and evaluation of these candidates by using the Bayesian rule according to each of address-block type. Accordingly, the proposed method can cope with various types of address-blocks. The effectiveness of the method was confirmed in several address extraction experiments. These experiments show that the top-five extraction results include one correct address-block in 94% of total number of printed-mail cases and 89% in of handwritten-mail cases.
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