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Fuzzy logic approach to recognition ...

Zhang, Ling.

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Fuzzy logic approach to recognition of mathematical notation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fuzzy logic approach to recognition of mathematical notation./
作者:	Zhang, Ling.
面頁冊數:	93 p.
附註:	Source: Masters Abstracts International, Volume: 43-06, page: 2297.
Contained By:	Masters Abstracts International43-06.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR01081
ISBN:	0494010819

Fuzzy logic approach to recognition of mathematical notation.
Zhang, Ling.

Fuzzy logic approach to recognition of mathematical notation. - 93 p.

Source: Masters Abstracts International, Volume: 43-06, page: 2297.

Thesis (M.Sc.)--Queen's University at Kingston (Canada), 2005.

Recognition of mathematical notation has been investigated for over thirty years. It plays an important role in transcribing documents in scientific and engineering disciplines from images into more abstract electronic forms. These allow the mathematical expression to be evaluated or manipulated by computer software.

ISBN: 0494010819Subjects--Topical Terms:

626642
Computer Science.

Fuzzy logic approach to recognition of mathematical notation.
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245 1 0 $a Fuzzy logic approach to recognition of mathematical notation.
300 $a 93 p.
500 $a Source: Masters Abstracts International, Volume: 43-06, page: 2297.
502 $a Thesis (M.Sc.)--Queen's University at Kingston (Canada), 2005.
520 $a Recognition of mathematical notation has been investigated for over thirty years. It plays an important role in transcribing documents in scientific and engineering disciplines from images into more abstract electronic forms. These allow the mathematical expression to be evaluated or manipulated by computer software.
520 $a Recognition of mathematical notation consists of symbol recognition and symbol arrangement analysis. In this thesis, we focus on the latter. In particular, we focus on the uncertainty occurring in the spatial structure between symbols. We investigate extensions to an existing deterministic mathematical notation recognition system DRACULAE, which is grammar-based and has potentials to extend to a Fuzzy Logic approach.
520 $a We develop a Fuzzy Logic approach to recognition of mathematical notation by applying Fuzzy Logic to the symbol arrangement analysis. By defining confidence values for spatial relationships and baseline structure trees, we produce a list of reasonable interpretations and allow users to select the desired interpretation of their expression.
590 $a School code: 0283.
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650 4 $a Artificial Intelligence. $3 769149
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710 2 0 $a Queen's University at Kingston (Canada). $3 1250078
773 0 $t Masters Abstracts International $g 43-06.
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791 $a M.Sc.
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