Recognition of Similar Patterns by Multilayer Nets and Detection of Rotated Angle and Scale Ratio
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- GOTANDA Hiromu
- Kinki University in Kyusyu, Faculty of Engineering
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- KAWAI Kousaku
- Sanki Medical Inc.
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- YAMAOKA Tatsuya
- Netmarks Inc.
Bibliographic Information
- Other Title
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- 相似パターンの多層ネットによる認識および回転角と拡大縮小比の検出
- ソウジ パターン ノ タソウ ネット ニヨル ニンシキ オヨビ カイテンカク
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Abstract
For practical pattern recognition, it is required not only to recognize geometrically similar patterns but also to detect the difference of translation, rotation and size from their templates. This paper proposes a method to recognize the similar patterns by a multilayer net and then detect the difference on the common basis of well-known geometrical characteristics (center of gravity, angle of principal axis, and variance). It is found from experimental results that, with the proposed method, a small net can classify the similar patterns at a high recognition rate and detect their rotated angles and scale ratios with a high accuracy.
Journal
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- Transactions of the Institute of Systems, Control and Information Engineers
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Transactions of the Institute of Systems, Control and Information Engineers 11 (8), 426-433, 1998
THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)
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Details 詳細情報について
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- CRID
- 1390282680142364288
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- NII Article ID
- 10004333200
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- NII Book ID
- AN1013280X
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- ISSN
- 2185811X
- 13425668
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- NDL BIB ID
- 4533661
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed