https://scholars.lib.ntu.edu.tw/handle/123456789/294608
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | T. -N. Yang | en_US |
dc.contributor.author | SHENG-DE WANG | - |
dc.creator | T. -N. Yang;S. -D. Wang | - |
dc.date.accessioned | 2018-09-10T03:51:01Z | - |
dc.date.available | 2018-09-10T03:51:01Z | - |
dc.date.issued | 2001-01 | - |
dc.identifier.issn | 01678655 | - |
dc.identifier.uri | http://scholars.lib.ntu.edu.tw/handle/123456789/294608 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035096349&doi=10.1016%2fS0167-8655%2800%2900089-1&partnerID=40&md5=fd8e2c03af20deeaf50f5b8631459f16 | - |
dc.description.abstract | In this paper, we present an approach to construct an optical character recognition (OCR) system for recognizing rotated printed Chinese characters. Our system includes preprocessing, feature extraction, candidates selection, and target character recognition. The proposed system has a three-stage structure designed mainly to reduce the time complexity in the recognition process. Our goal is to recognize the complete set of frequently used 13 053 printed Chinese characters with arbitrary orientations. The overall recognition rate of our system reaches 97.4%. © 2001 Elsevier Science B.V. All rights reserved.In this paper, we present an approach to construct an optical character recognition (OCR) system for recognizing rotated printed Chinese characters. Our system includes preprocessing, feature extraction, candidates selection, and target character recognition. The proposed system has a three-stage structure designed mainly to reduce the time complexity in the recognition process. Our goal is to recognize the complete set of frequently used 13 053 printed Chinese characters with arbitrary orientations. The overall recognition rate of our system reaches 97.4%. © 2001 Elsevier Science B.V. All rights reserved. | - |
dc.format | application/pdf | en |
dc.format.mimetype | application/pdf | - |
dc.language | en | en |
dc.relation | Pattern Recognition Letters 22 (2): 85-95 | en |
dc.relation.ispartof | Pattern Recognition Letters | en_US |
dc.source | AH-anncc | - |
dc.subject | Computational complexity; Feature extraction; Image analysis; Image quality; Optical character recognition; Chinese character recognition system; Image Analysis; Pattern matching; pattern recognition | - |
dc.subject.other | Computational complexity; Feature extraction; Image analysis; Image quality; Optical character recognition; Chinese character recognition system; Image Analysis; Pattern matching; pattern recognition | - |
dc.title | A rotation invariant printed Chinese character recognition system | - |
dc.type | journal article | en |
dc.identifier.doi | 10.1016/S0167-8655(00)00089-1 | - |
dc.identifier.scopus | 2-s2.0-0035096349 | - |
dc.identifier.isi | WOS:000166752000001 | - |
dc.relation.pages | 85-95 | - |
dc.relation.journalvolume | 22 | - |
dc.relation.journalissue | 2 | - |
item.cerifentitytype | Publications | - |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | journal article | - |
item.grantfulltext | none | - |
crisitem.author.dept | Electrical Engineering | - |
crisitem.author.dept | Computer Science and Information Engineering | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
顯示於: | 電機工程學系 |
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