DocumentCode
1743065
Title
A new integration scheme with multilayer perceptron networks for handwritten Chinese character recognition
Author
Wang, C.H. ; Xiao, B.H. ; Dai, R.W.
Author_Institution
Inst. of Autom., Chinese Acad. of Sci., China
Volume
2
fYear
2000
fDate
2000
Firstpage
961
Abstract
In this paper, a new integration scheme with multilayer perceptron (MLP) networks is proposed to solve handwritten Chinese character recognition problem. The idea of meta-synthesis is emphasized in this scheme, human intelligence and computer capabilities are combined together through a procedure of two-step supervised learning. Compared with previous integration schemes, this scheme has much better performance and provides a promising way of applying MLP to large vocabulary classification
Keywords
handwritten character recognition; learning (artificial intelligence); multilayer perceptrons; Chinese character recognition; handwritten character recognition; meta-synthesis; multilayer perceptron; supervised learning; Automation; Character recognition; Feature extraction; High performance computing; Humans; Man machine systems; Multilayer perceptrons; Pattern recognition; Supervised learning; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.906234
Filename
906234
Link To Document