Handwritten ZIP code recognition

被引:0
|
作者
Dzuba, G
Filatov, A
Volgunin, A
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The encoding of delivery point code (DPC) for 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 scale names recognition. Main principles of the handwritten word recognizer which is 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, ZIP code recognition rate is 73% with 1% error rats.
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页码:766 / 770
页数:5
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