Parallel compact integration in handwritten Chinese character recognition
Wang, CH; Xiao, BH; Dai, RW
Source PublicationSCIENCE IN CHINA SERIES F-INFORMATION SCIENCES
2004-02-01
Volume47Issue:1Pages:89-96
SubtypeArticle
AbstractIn this paper, a new parallel compact integration scheme based on multi-layer perceptron (MLP) networks is proposed to solve handwritten Chinese character recognition (HCCR) problems. The idea of metasynthesis is applied to HCCR, and compact MLP network classifier is defined. Human intelligence and computer capabilities are combined together effectively through a procedure of two-step supervised learning. Compared with previous integration schemes, this scheme is characterized with parallel compact structure and better performance. It provides a promising way for applying MLP to large vocabulary classification.
KeywordHandwritten Chinese Character Recognition (Hccr) Metasynthesis Multi-layer Perceptron (Mlp) Compact Mlp Network Classifier Supervised Learning
WOS HeadingsScience & Technology ; Technology
WOS KeywordCLASSIFIERS
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000188951100008
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/7968
Collection复杂系统管理与控制国家重点实验室_影像分析与机器视觉
AffiliationChinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Wang, CH,Xiao, BH,Dai, RW. Parallel compact integration in handwritten Chinese character recognition[J]. SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,2004,47(1):89-96.
APA Wang, CH,Xiao, BH,&Dai, RW.(2004).Parallel compact integration in handwritten Chinese character recognition.SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,47(1),89-96.
MLA Wang, CH,et al."Parallel compact integration in handwritten Chinese character recognition".SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES 47.1(2004):89-96.
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