Please use this identifier to cite or link to this item: https://doi.org/10.1142/S0218001402001551
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dc.titleSegmentation of handwritten Chinese characters from destination addresses of mail pieces
dc.contributor.authorLu, Y.
dc.contributor.authorTan, C.L.
dc.contributor.authorShi, P.
dc.contributor.authorZhang, K.
dc.date.accessioned2013-07-04T07:38:59Z
dc.date.available2013-07-04T07:38:59Z
dc.date.issued2002
dc.identifier.citationLu, Y., Tan, C.L., Shi, P., Zhang, K. (2002). Segmentation of handwritten Chinese characters from destination addresses of mail pieces. International Journal of Pattern Recognition and Artificial Intelligence 16 (1) : 85-96. ScholarBank@NUS Repository. https://doi.org/10.1142/S0218001402001551
dc.identifier.issn02180014
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39320
dc.description.abstractIn this paper, we illustrate a method to segment handwritten Chinese characters from destination addresses of mail pieces. Fast Hough transform is utilized to detect the reference lines preprinted on the mail piece. In the segmentation, subassemblies of Chinese characters are merged based on the structural features of Chinese characters and the subassemblies' topological relations, viz. upper-lower, inside-outside and left-right relations. The width of subassemblies and the spacing between neighboring subassemblies in the whole image of the destination address are analyzed to guide the merging of the left-right subassemblies. Experimental results with real mail piece images show that the proposed approach has achieved a promising performance for segmenting handwritten Chinese characters.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1142/S0218001402001551
dc.sourceScopus
dc.subjectCharacter segmentation
dc.subjectDetection and removal of reference lines
dc.subjectDocument image processing
dc.subjectHandwritten Chinese character
dc.subjectPostal automation
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1142/S0218001402001551
dc.description.sourcetitleInternational Journal of Pattern Recognition and Artificial Intelligence
dc.description.volume16
dc.description.issue1
dc.description.page85-96
dc.description.codenIJPIE
dc.identifier.isiut000174474700005
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