Parallel compact integration in handwritten Chinese character recognition
Wang, CH; Xiao, BH; Dai, RW
刊名SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES
2004-02-01
卷号47期号:1页码:89-96
关键词handwritten Chinese character recognition (HCCR) metasynthesis multi-layer perceptron (MLP) compact MLP network classifier supervised learning
英文摘要In 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.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems
研究领域[WOS]Computer Science
关键词[WOS]CLASSIFIERS
收录类别SCI
语种英语
WOS记录号WOS:000188951100008
公开日期2015-09-22
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/7968]  
专题自动化研究所_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团队
作者单位Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式
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.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace