Mail Address Recognition Based on Neural and Fuzzy Methods

Abstract

Abstract: This paper presents a mail address recognition technology based on neural and fuzzy methods. We analyse threetechniques for applying neural and fuzzy methods to handwritten address recognition problem: assigning character confidence values, giving the segments contextual information and aggregating character confidence values by means of fuzzy integrals.

摘要： 提出了一种基于神经和模糊方法的手写体邮件地址的识别方案，并详细分析了神经和模糊方法应用于手写体识别问题的3种技巧：指派字符可信度值，给出字符分段上下文信息，利用模糊积分汇总字符的可信度值。

关键词: 手写体识别, 神经网络, 模糊逻辑, 多层前馈神经网络, 模糊积分

CLC Number:

TP391.4

Tan Lixiang. Mail Address Recognition Based on Neural and Fuzzy Methods[J]. , 1998, 24(09): 21-.

谭立湘. 基于神经和模糊方法的邮件地址识别[J]. , 1998, 24(09): 21-.

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URL: https://www.ecice06.com/EN/Y1998/V24/I09/21

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