Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/8176
DC FieldValueLanguage
dc.contributor.advisor陶金旭zh_TW
dc.contributor.author蔡仲智zh_TW
dc.date2003zh_TW
dc.date.accessioned2014-06-06T06:41:08Z-
dc.date.available2014-06-06T06:41:08Z-
dc.identifier.urihttp://hdl.handle.net/11455/8176-
dc.description.abstract中文字辨識是圖形識別研究領域中的一個重要課題。本文將研究一個適用於中文字辨識的筆劃抽取的方法,結合了非細線化方式以及模糊聚類演算法。主要目的在克服一般細線化演算法在筆劃交叉時產生變形的結果,因而影響筆劃抽取以及辨識的準確率。我們將採用分析文字二值影像的輪廓線及其近似直線轉折點的方法,找出文字骨架線點。最後利用模糊聚類演算法,將平滑化的中文字筆劃以不使用細線化的方式抽取出來。zh_TW
dc.description.abstractThe recognition of Chinese character is an important topic in the research of pattern recognition. In this paper, we will study a hybrid stroke extraction method that combines a non-thinning based approach with the fuzzy clustering algorithm. The main goal of this method is to avoid the artifacts that are generated in traditional thinning algorithm. We will adopt the method of analyzing the contour of the Chinese character of the binary image and the breaking points of the line segments which used to approximate the contour. Then the skeleton points of the character can be found. The representative centers of the stroke segments are initialized by using the skeleton points. Finally, the smooth stroke segments can be obtained via the fuzzy clustering algorithm, and the smooth stroke can be extracted.en_US
dc.description.tableofcontents第一章 緒論 第二章 輪廓線轉折點與筆劃初步分離 第三章 筆劃交接點處理 第四章 筆劃分割與文字骨架線 第五章 文字骨架線平滑化 第六章 實驗結果與討論 第七章 結論與未來發展zh_TW
dc.language.isoen_USzh_TW
dc.publisher電機工程學系zh_TW
dc.subjectcharacter recognitionen_US
dc.subject文字辨識zh_TW
dc.subjectstroke extractionen_US
dc.subjectnon-thinningen_US
dc.subjectfuzzy clusteringen_US
dc.subject筆劃抽取zh_TW
dc.subject細線化zh_TW
dc.subject模糊聚類zh_TW
dc.title應用輪廓線分析於中文字筆劃抽取zh_TW
dc.titleStroke Extraction of Chinese Characters Using Contour Analysisen_US
dc.typeThesis and Dissertationzh_TW
item.fulltextno fulltext-
item.languageiso639-1en_US-
item.openairetypeThesis and Dissertation-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
Appears in Collections:電機工程學系所
Show simple item record
 
TAIR Related Article

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.