Handwritten postal code recognition by neural network - A comparative study

被引：0
|
作者：
Arif, AF
Takahashi, H
Iwata, A
Tsutsumida, T
机构：
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 1996年 / E79D卷 / 05期
关键词：
handwritten numeral recognition; feature extraction; neural network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper compares some popular character recognition techniques which have been proposed until today. 17 feature extraction methods and 4 neural network based recognition processes were used in handwritten numerals (postal codes) recognition. It was found that Weighted Direction Index Histogram, Peripheral Direction Contributivity Function and Expansion Cell feature extractions gave good results. As for the neural network recognition process, CombNET-II and multi layer neural network showed good performances.
引用
收藏
页码：443 / 449
页数：7
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