手写邮政编码识别

Gregory I. Dzuba, Alexander Filatov, A. Volgunin
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引用次数: 30

摘要

手写地址的投递点编码(DPC)是美国邮件投递自动化中最复杂的问题之一。本文介绍了一种实时识别邮政编码中5位邮编的系统。为了提高系统的性能,将邮政编码识别结果与城市和州名识别结果进行交叉验证。介绍了手写体文字识别器的主要工作原理,它构成了系统的核心。系统吞吐量为每小时4万个地址块。给出了在实弹邮件上的实验结果。邮政编码识别率为73%,错误率为1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Handwritten ZIP code recognition
The encoding of delivery point code (DPC) for a handwritten address is one of the most complex problems of the US mail delivery automation. This paper describes a real-time system intended to recognize the 5-digit ZIP code part of DPC. To increase the system performance the results of ZIP code recognition are cross-validated with those of city and state name recognition. The main principles of the handwritten word recognizer which provide the core of the system are explained. The system throughput is 40,000 address blocks per hour. Experimental results on live mail pieces are presented. The ZIP code recognition rate is 73% with 1% error rate.
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