Multiscale handwritten character recognition using CNN image filters

被引：5
|
作者：
Saatci, E [1 ]
Tavsanoglu, V [1 ]
机构：
[1] S Bank Univ, Sch Engn, London SE1 0AA, England
来源：
PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年
关键词：
D O I：
10.1109/IJCNN.2002.1007454
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a multiscale character recognition system consisting of three single scale recognition systems. Based on a test set of 26 test characters acting as template and a set consisting of 4 sets of 26 unknown handwritten test characters, max. 96% and an average of 93% correct recognition is provided. This is a considerable improvement over the performance of existing single scale recognition system.
引用
收藏
页码：2044 / 2048
页数：3
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