Affine Invariant Character Recognition by Progressive Removing
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- Iwamura Masakazu
- Graduate School of Engineering, Osaka Prefecture University
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- Horimatsu Akira
- Graduate School of Engineering, Osaka Prefecture University
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- Niwa Ryo
- Graduate School of Engineering, Osaka Prefecture University
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- Kise Koichi
- Graduate School of Engineering, Osaka Prefecture University
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- Uchida Seiichi
- Faculty of Information Science and Electrical Engineering, Kyushu University
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- Omachi Shinichiro
- Graduate School of Engineering, Tohoku University
Bibliographic Information
- Other Title
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- 段階的な枝刈りによるアフィン不変な文字認識
- ダンカイテキ ナ エダ カリ ニ ヨル アフィン フヘン ナ モジ ニンシキ
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Abstract
Recognizing characters in scene images suffering from perspective distortion is a challenge. Although there are some methods to overcome this difficulty, they are time-consuming. In this paper, we propose a set of affine invariant features and a new recognition scheme called “progressive removing” that can help reduce the processing time. Progressive removing gradually removes less feasible categories and skew angles by using multiple classifiers. We observed that progressive removing and the use of the affine invariant features reduced the processing time by about 60% in comparison to a trivial one without decreasing the recognition rate.
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 131 (7), 873-879, 2011
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282679635100288
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- NII Article ID
- 10030530539
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- NII Book ID
- AN10012320
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- BIBCODE
- 2011IJTIA.131..873I
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- ISSN
- 13488163
- 09136339
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- NDL BIB ID
- 11166396
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed