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High performance character recognition for off-line handwritten British postcodes

机译:离线手写英国邮政编码的高性能字符识别

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Provides details of a dictionary search scheme which efficiently improves the overall postcode recognition rate. The research described has shown that it is possible to extract high word recognition rates from an unoptimised character recognition algorithm, by using contextual knowledge. A basic character recognition rate of 63.1% was achieved for the full alphanumeric character set, as written in a database of British postcodes. The addition of a syntactic recognition stage, based upon analysis of allowable British postcode formats, improved the character recognition rate to 73.2%. The effect of syntax was mainly to reduce the confusion between numerals and alphabetic characters. A trie-structured dictionary was used to add contextual knowledge to the postcode recognition process.
机译:提供字典搜索方案的详细信息,可有效提高整体邮政编码识别率。所描述的研究表明,可以利用上下文知识从未经优化的字符识别算法中提取较高的单词识别率。完整的字母数字字符集的基本字符识别率达到63.1%,这是在英国邮政编码数据库中编写的。在对允许的英国邮政编码格式进行分析的基础上,增加了句法识别阶段,从而将字符识别率提高到73.2%。语法的作用主要是减少数字和字母字符之间的混淆。使用字典结构的字典将上下文知识添加到邮政编码识别过程中。

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