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Title: | 應用霍氏模型記憶幾何規則 Finite Geometrical Relations Loading in Hopfield Model |
Authors: | Hong-Yi Shih 施鴻逸 |
Advisor: | 劉長遠 |
Keyword: | 手寫字辨識,樣式辨識,霍氏模型,幾何規則,曲橢圓特徵, Handprinted character recognition,Pattern recognition,Hopfield model,Geometrical relation,Bended-ellipse feature, |
Publication Year : | 2012 |
Degree: | 碩士 |
Abstract: | 本論文為手寫字辨認設計兩項新的幾何規則,並將原有的特徵表示法做推廣,在應用霍氏模型的方法中得到較好的配對結果。除了手寫字辨認以外,我們也提出許多符合現今需求的新應用,本論文所提供的方法能夠繼續發展以解決這些更複雜的應用。
曲橢圓特徵模型適合用來表現複雜的幾何型態,這些特徵點在幾何上擁有許多規則,我們可以應用霍氏模型記憶這些規則以達成特徵點的配對。設計更多不同的幾何規則能提升識別率,也能解決許多不同類型的型態辨識問題。 There are two similarities constructed in earlier works, named inter-feature similarity and inter-link similarity. This work rewrites geomet-rical relations and constructs them into Hopfield model to improve the matching result. Constructing a set of bended-ellipse features is an efficient way for sampling cursive patterns. It converts a pattern into structural features and pro-vides a natural way for handprinted characters recognition. The idea which called feature-to-feature adhesion constructs a topological configuration for a pattern and transforms it into an undirected graph. The compatibility asso-ciated with the graph is then formulated as an optimization problem and is solved by a devised Hopfield network. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6838 |
Fulltext Rights: | 同意授權(全球公開) |
Appears in Collections: | 資訊工程學系 |
Files in This Item:
File | Size | Format | |
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ntu-101-1.pdf | 1.92 MB | Adobe PDF | View/Open |
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