Offline recognition of Chinese handwriting by multifeature and multilevel classification
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tang, YY | - |
dc.contributor.author | Tu, LT | - |
dc.contributor.author | Liu, JM | - |
dc.contributor.author | Lee, SW | - |
dc.contributor.author | Lin, WW | - |
dc.contributor.author | Shyu, IS | - |
dc.date.accessioned | 2021-09-09T12:39:36Z | - |
dc.date.available | 2021-09-09T12:39:36Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 1998-05 | - |
dc.identifier.issn | 0162-8828 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/124427 | - |
dc.description.abstract | One of the most challenging topics is the recognition of Chinese handwriting, especially off line recognition. In this paper, an oft line recognition system based on multifeature and multilevel classification is presented for handwritten Chinese characters. Ten classes of multifeatures, such as peripheral shape features, stroke density features, and stroke direction features, are used in this system. The multilevel classification scheme consists of a group classifier and a five-level character classifier, where two new technologies, overlap clustering and Gaussian distribution selector, are developed. Experiments have been conducted to recognize 5,401 daily-used Chinese characters. The recognition rate is about 90 percent for a unique candidate. and 98 percent for multichoice with 10 candidates. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE COMPUTER SOC | - |
dc.subject | CHARACTERS | - |
dc.title | Offline recognition of Chinese handwriting by multifeature and multilevel classification | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, SW | - |
dc.identifier.doi | 10.1109/34.682186 | - |
dc.identifier.scopusid | 2-s2.0-0032072171 | - |
dc.identifier.wosid | 000073955600012 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.20, no.5, pp.556 - 561 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | - |
dc.citation.title | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | - |
dc.citation.volume | 20 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 556 | - |
dc.citation.endPage | 561 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | CHARACTERS | - |
dc.subject.keywordAuthor | offline Chinese handwriting recognition | - |
dc.subject.keywordAuthor | multifeature | - |
dc.subject.keywordAuthor | multilevel classification | - |
dc.subject.keywordAuthor | overlap clustering | - |
dc.subject.keywordAuthor | Gaussian distribution selector | - |
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