Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/134164
Title: Recognition of handwritten Chinese characters from paper records
Authors: Loudon, Gareth 
Hong, Chen
Wu, Yi-Min
Zitserman, Ruslana 
Issue Date: 1996
Source: Loudon, 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.
Abstract: This 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.
Source Title: IEEE Region 10 Annual International Conference, Proceedings/TENCON
URI: http://scholarbank.nus.edu.sg/handle/10635/134164
Appears in Collections:Staff Publications

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