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Handwritten Chinese character analysis and preclassification using stroke structural sequence

A unique stroke ordering for handwritten Chinese characters is desirable in many applications including efficient character recognition and automatic radical extraction. Although there are some rules or conventions for writing Chinese characters, yet no consistent and complete rule set is available....

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Main Authors:	Zen Chen, Chi-Wei Lee, Rei-Heng Cheng
Format:	Conference Proceeding
Language:	English
Subjects:	Application software Character recognition Computer science Data mining Dictionaries Handwriting recognition Humans Shape Writing
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container_end_page	93 vol.3
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container_start_page	89
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creator	Zen Chen Chi-Wei Lee Rei-Heng Cheng
description	A unique stroke ordering for handwritten Chinese characters is desirable in many applications including efficient character recognition and automatic radical extraction. Although there are some rules or conventions for writing Chinese characters, yet no consistent and complete rule set is available. Besides special radical knowledge is often needed. It is the purpose of this paper to propose a set of rules for stroke ordering for producing a unique stroke sequence for Chinese characters. It requires no special radical knowledge or knowledge of character block layouts, so it is easy for machine implementation. Moreover, the stroke sequences derived are similar to those given in the dictionary, if not the same. To deal with the writing, variations among writers, we generalize the derived stroke structure sequence to obtain a more consistent stroke information. This generalized stroke structural sequence can be used in the handwritten Chinese character preclassification. Experiments showing applications of our method are reported.
doi_str_mv	10.1109/ICPR.1996.546800
format	conference_proceeding
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Although there are some rules or conventions for writing Chinese characters, yet no consistent and complete rule set is available. Besides special radical knowledge is often needed. It is the purpose of this paper to propose a set of rules for stroke ordering for producing a unique stroke sequence for Chinese characters. It requires no special radical knowledge or knowledge of character block layouts, so it is easy for machine implementation. Moreover, the stroke sequences derived are similar to those given in the dictionary, if not the same. To deal with the writing, variations among writers, we generalize the derived stroke structure sequence to obtain a more consistent stroke information. This generalized stroke structural sequence can be used in the handwritten Chinese character preclassification. 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Although there are some rules or conventions for writing Chinese characters, yet no consistent and complete rule set is available. Besides special radical knowledge is often needed. It is the purpose of this paper to propose a set of rules for stroke ordering for producing a unique stroke sequence for Chinese characters. It requires no special radical knowledge or knowledge of character block layouts, so it is easy for machine implementation. Moreover, the stroke sequences derived are similar to those given in the dictionary, if not the same. To deal with the writing, variations among writers, we generalize the derived stroke structure sequence to obtain a more consistent stroke information. This generalized stroke structural sequence can be used in the handwritten Chinese character preclassification. Experiments showing applications of our method are reported.</description><subject>Application software</subject><subject>Character recognition</subject><subject>Computer science</subject><subject>Data mining</subject><subject>Dictionaries</subject><subject>Handwriting recognition</subject><subject>Humans</subject><subject>Shape</subject><subject>Writing</subject><issn>1051-4651</issn><issn>2831-7475</issn><isbn>9780818672828</isbn><isbn>081867282X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkM1KAzEYRYM_YKmzF1d5ganJTH6-LGVQWygo0q2UTPrFRse0Jhmkb2-l3s25q8PlEnLD2YxzZu4W3cvrjBujZlIoYOyMTBpoea2FluekMhoYcFC6gQYuyIQzyWuhJL8iVc4f7BgpQSkzIW9zGzc_KZSCkXbbEDEjdVubrCuYqI12OOSQj2VD9wndYHMOPjhbwi7SMYf4TnNJu0_8w-jKmOxAM36PGB1ek0tvh4zVP6dk9fiw6ub18vlp0d0v6wCm1MeRAgQTZtNz5jXveaMAWuNtb42SyjbMo0XodS-EBxTeS9DOeC2x4dy1U3J70gZEXO9T-LLpsD5d0_4CdkxXqA</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Zen Chen</creator><creator>Chi-Wei Lee</creator><creator>Rei-Heng Cheng</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>Handwritten Chinese character analysis and preclassification using stroke structural sequence</title><author>Zen Chen ; Chi-Wei Lee ; Rei-Heng Cheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i89t-828484049db10f71b1268839faba9656a20feae8b7b44f8e4ff587c9f75e211c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Application software</topic><topic>Character recognition</topic><topic>Computer science</topic><topic>Data mining</topic><topic>Dictionaries</topic><topic>Handwriting recognition</topic><topic>Humans</topic><topic>Shape</topic><topic>Writing</topic><toplevel>online_resources</toplevel><creatorcontrib>Zen Chen</creatorcontrib><creatorcontrib>Chi-Wei Lee</creatorcontrib><creatorcontrib>Rei-Heng Cheng</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library Online</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zen Chen</au><au>Chi-Wei Lee</au><au>Rei-Heng Cheng</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Handwritten Chinese character analysis and preclassification using stroke structural sequence</atitle><btitle>Proceedings of 13th International Conference on Pattern Recognition</btitle><stitle>ICPR</stitle><date>1996</date><risdate>1996</risdate><volume>3</volume><spage>89</spage><epage>93 vol.3</epage><pages>89-93 vol.3</pages><issn>1051-4651</issn><eissn>2831-7475</eissn><isbn>9780818672828</isbn><isbn>081867282X</isbn><abstract>A unique stroke ordering for handwritten Chinese characters is desirable in many applications including efficient character recognition and automatic radical extraction. Although there are some rules or conventions for writing Chinese characters, yet no consistent and complete rule set is available. Besides special radical knowledge is often needed. It is the purpose of this paper to propose a set of rules for stroke ordering for producing a unique stroke sequence for Chinese characters. It requires no special radical knowledge or knowledge of character block layouts, so it is easy for machine implementation. Moreover, the stroke sequences derived are similar to those given in the dictionary, if not the same. To deal with the writing, variations among writers, we generalize the derived stroke structure sequence to obtain a more consistent stroke information. This generalized stroke structural sequence can be used in the handwritten Chinese character preclassification. Experiments showing applications of our method are reported.</abstract><pub>IEEE</pub><doi>10.1109/ICPR.1996.546800</doi></addata></record>
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issn	1051-4651 2831-7475
language	eng
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source	IEEE Xplore All Conference Series
subjects	Application software Character recognition Computer science Data mining Dictionaries Handwriting recognition Humans Shape Writing
title	Handwritten Chinese character analysis and preclassification using stroke structural sequence
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