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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/134164
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dc.titleRecognition of handwritten Chinese characters from paper records
dc.contributor.authorLoudon, Gareth
dc.contributor.authorHong, Chen
dc.contributor.authorWu, Yi-Min
dc.contributor.authorZitserman, Ruslana
dc.date.accessioned2016-12-20T08:44:12Z
dc.date.available2016-12-20T08:44:12Z
dc.date.issued1996
dc.identifier.citationLoudon, Gareth, Hong, Chen, Wu, Yi-Min, Zitserman, Ruslana (1996). Recognition of handwritten Chinese characters from paper records. IEEE Region 10 Annual International Conference, Proceedings/TENCON 2 : 923-926. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/134164
dc.description.abstractThis paper describes a method used for the recognition of handwritten simplified Chinese characters from paper records. The method is based on the use of discrete hidden Markov models. The recognition accuracy achieved for all 3755 common simplified Chinese characters in GB1 is 91.2% for top 1 choice and 98.5% for top 5 choice. The method recognizes isolated characters only and not words or phrases. The test set contained about 35,000 characters. All characters were written in a print style.
dc.typeConference Paper
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.description.sourcetitleIEEE Region 10 Annual International Conference, Proceedings/TENCON
dc.description.volume2
dc.description.page923-926
dc.description.coden85QXA
dc.identifier.isiutNOT_IN_WOS
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