Methods of combining multiple classifiers and their applications to handwriting recognition
摘要：
Possible solutions to the problem of combining classifiers can be divided into three categories according to the levels of information available from the various classifiers. Four approaches based on different methodologies are proposed for solving this problem. One is suitable for combining individual classifiers such as Bayesian, k -nearest-neighbor, and various distance classifiers. The other three could be used for combining any kind of individual classifiers. On applying these methods to combine several classifiers for recognizing totally unconstrained handwritten numerals, the experimental results show that the performance of individual classifiers can be improved significantly. For example, on the US zipcode database, 98.9% recognition with 0.90% substitution and 0.2% rejection can be obtained, as well as high reliability with 95% recognition, 0% substitution, and 5% rejection
展开
关键词：
Theoretical or Mathematical/ character recognition/ multiple classifier combination Bayesian classifiers k-nearest-neighbour classifiers handwriting recognition distance classifiers unconstrained handwritten numerals US zipcode database/ C1250B Character recognition
DOI：
10.1109/21.155943
被引量：
年份：
1992
国家科技图书文献中心
(权威机构)
IEEEXplore
IEEEXplore
(全网免费下载)
Emerald
掌桥科研
查看更多
Semantic Scholar
(全网免费下载)
Semantic Scholar
dx.doi.org
IEEE Computer Society
ResearchGate
ResearchGate
(全网免费下载)
connections-qj.org
tobaccodocuments.org
mendeley.com
119.235.48.163
(全网免费下载)
gigapaper.ir
(全网免费下载)
zentralblatt-math.org
140.98.202.196
procon.bg
defencemanagement.org
citeseer.uark.edu:8080
en.zl50.com
scienceopen.com
machine-learning.martinsewell.com
(全网免费下载)
cghjournal.org
it4sec.org
gigapaper.ir
(全网免费下载)
waltoncollege.uark.edu
(全网免费下载)
j-biomed-inform.com
onAcademic
IEEEXplore
(全网免费下载)
Semantic Scholar
(全网免费下载)
ResearchGate
(全网免费下载)
gigapaper.ir
(全网免费下载)
119.235.48.163
(全网免费下载)
gigapaper.ir
(全网免费下载)
machine-learning.martinsewell.com
(全网免费下载)
waltoncollege.uark.edu
(全网免费下载)
通过文献互助平台发起求助，成功后即可免费获取论文全文。
相似文献
参考文献
引证文献
引用走势
站内活动
辅助模式
引用
文献可以批量引用啦~
欢迎点我试用！
