Recognition of Handwritten ZIP Codes in a Real—World Non-Standard-Letter Sorting System

被引：0
|
作者：
M. Pfister
S. Behnke
R. Rojas
机构：
[1] Siemens AG,
[2] Freie Universität Berlin,undefined
来源：
Applied Intelligence | 2000年 / 12卷
关键词：
postal automation; address reading; neural networks; handprinted digit recognition;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this article, we describe the OCR and image processing algorithms used to read destination addresses from non-standard letters (flats) by Siemens postal automation system currently in use by the Deutsche Post AG1.
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页码：95 / 115
页数：20
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