Browsing by Author "Chiou, YH"

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Magnetic force microscopy study of a defect-induced orthogonal magnetic structure on a cobalt film
(2000-02-01)
Lin, HN
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Chang, CR
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Chiou, YH
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電子物理學系
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Department of Electrophysics
An unusual orthogonal magnetic structure is observed on a cobalt film by magnetic force microscopy. The structure is composed of a double wall, which is caused by a surface scratch, and two perpendicular spike domains, which are caused by an internal defect. The occurrence of the structure is attributed to the generation of surface free poles due to film inhomogeneities and their redistribution to reduce the magnetostatic energy. The magnetization pattern has also been proposed to explain the observed magnetic force image. (C) 2000 Elsevier Science B.V. All rights reserved.
Magnetic force microscopy study of domain walls on a thin cobalt film
(1998-05-01)
Lin, HN
;
Chiou, YH
;
Chen, BM
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Shieh, HPD
;
Chang, CR
Two types of 180 degrees domain walls on a 115 nm cobalt film are observed by magnetic force microscopy. The surface Neel wall on top of an asymmetric Bloch wall is found inhomogeneous. with the width estimated to be around 200 nm. The width of the rhomb-structured cross-tie wall, on the other hand, is approximately 400 nm. The coexistence of these two types of domain walls indicates that their wall energies are comparable at the film thickness. (C) 1998 American institute of Physics.
Recognition of Chinese business cards
(1997)
Chiou, YH
;
Lee, HJ
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交大名義發表
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資訊工程學系
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National Chiao Tung University
Business cards include many kinds of information such as name, address, and telephone number. In order to use the information effectively, it is necessary to extract the information from the cards automatically to build a data base. The goal of this paper is to extract and recognize characters from color business cards. To separate the foreground from the background in a card, we assign all pixels into eight color types. Then we calculate a dynamic threshold using the color information to extract the foreground. Next, we extract the characters by four steps: connected component extraction, local thresholding, mark, line and noise deletion and character grouping. Finally, we recognize the characters by a statistical Chinese and English character recognition systems. We test 30 business cards, which have Chinese characters, English characters, numerals and punctuation marks. The extraction rate and accuracy rate for our system are 96.97% and 95.43% respectively. The recognition rate is 88.78% for Chinese characters and 97.58% for English characters, numerals and punctuation marks.