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Conference Paper: A character segmentation algorithm for off-line handwritten script recognition

TitleA character segmentation algorithm for off-line handwritten script recognition
Authors
KeywordsHandwritten script
Character segmentation
Geometric classes
X-axis projection
Y-axis projection
Issue Date1995
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/app/Publications/index.cfm?fuseaction=proceedings
Citation
Visual communications and image processing, Taipei, Taiwan, China, 24-26 May 1995, v. 2501, p. 1656-1667 How to Cite?
AbstractIn this paper, a new character segmentation algorithm for dealing with off-line handwritten script recognition is presented. The X-axis projection, Y-axis projection and geometric classes techniques used by the algorithm proves to be successful in segmenting normal handwriting with a success rate of 93.5%. As a result of this development, detailed understanding of geometric classes of English characters and the difficult cases in segmentation was gained. Although the algorithm works quite well with a randomly chosen sample, results of a detailed analysis may shed new light into the tuning of the algorithm especially for segmenting the identified difficult cases.
Persistent Identifierhttp://hdl.handle.net/10722/45974
ISSN

 

DC FieldValueLanguage
dc.contributor.authorYung, NHCen_HK
dc.contributor.authorLai, AHSen_HK
dc.contributor.authorChua, PZPen_HK
dc.date.accessioned2007-10-30T06:39:47Z-
dc.date.available2007-10-30T06:39:47Z-
dc.date.issued1995en_HK
dc.identifier.citationVisual communications and image processing, Taipei, Taiwan, China, 24-26 May 1995, v. 2501, p. 1656-1667en_HK
dc.identifier.issn0277-786Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/45974-
dc.description.abstractIn this paper, a new character segmentation algorithm for dealing with off-line handwritten script recognition is presented. The X-axis projection, Y-axis projection and geometric classes techniques used by the algorithm proves to be successful in segmenting normal handwriting with a success rate of 93.5%. As a result of this development, detailed understanding of geometric classes of English characters and the difficult cases in segmentation was gained. Although the algorithm works quite well with a randomly chosen sample, results of a detailed analysis may shed new light into the tuning of the algorithm especially for segmenting the identified difficult cases.en_HK
dc.format.extent476501 bytes-
dc.format.extent10863 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/app/Publications/index.cfm?fuseaction=proceedingsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsS P I E - the International Society for Optical Proceedings. Copyright © S P I E - International Society for Optical Engineering.en_HK
dc.rightsCopyright 1995 Society of Photo-Optical Instrumentation Engineers. This paper was published in Visual communications and image processing, Taipei, Taiwan, China, 24-26 May 1995, v. 2501, p. 1656-1667 and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en_HK
dc.subjectHandwritten scripten_HK
dc.subjectCharacter segmentationen_HK
dc.subjectGeometric classesen_HK
dc.subjectX-axis projectionen_HK
dc.subjectY-axis projectionen_HK
dc.titleA character segmentation algorithm for off-line handwritten script recognitionen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0277-786X&volume=2501&spage=1656&epage=1667&date=1995&atitle=A+character+segmentation+algorithm+for+off-line+handwritten+script+recognitionen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1117/12.206702en_HK
dc.identifier.hkuros1814-

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