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Automatic segmentation and recognition of zip codes on handwrittenreal mail

机译:手写邮政编码上的自动分段和识别真实邮件

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The authors combine statistical and structural techniques forautomatic segmentation and recognition of zip codes. This kind ofcombination has been advocated by several authors. The aim is toincorporate advantages of both approaches, that is to say, theflexibility and the adaptability to noisy patterns, for statisticaltechniques, and possibility to describe very complex and specificpatterns, using syntactic techniques. The statistical stage is the firstand main stage of the authors recognition system. It uses concavitymeasurements to characterize the characters and a linear discriminationtechnique is implemented to affect one character to one cluster. Thesecond stage, called structural supervisor, is developed in order tocontrol and improve the results of the first stage
机译:作者结合了统计和结构技术 自动分割和识别邮政编码。这种 几位作者提倡组合。目的是 结合了两种方法的优势,也就是说, 统计数据的灵活性和对噪声模式的适应性 技巧,以及描述非常复杂和具体的可能性 模式,使用句法技术。统计阶段是第一个 以及作者识别系统的主要阶段。它使用凹度 测量以表征字符并进行线性判别 实现了一种技术,以将一个字符影响到一个群集。这 第二阶段,称为结构监督员,是为了 控制并改善第一阶段的结果

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