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Ultra-low Resolution Character Recognition by Utilizing Multiple Frames
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- TOBA Shuhei
- Faculty of Engineering, Tohoku University
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- KUDO Hirotaka
- Faculty of Engineering, Tohoku University
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- MIYAZAKI Tomo
- Faculty of Engineering, Tohoku University
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- SUGAYA Yoshihiro
- Faculty of Engineering, Tohoku University
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- OMACHI Shinichiro
- Faculty of Engineering, Tohoku University
Bibliographic Information
- Other Title
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- 動画像を用いた超低解像度文字認識(ポスターセッション,実世界指向,産業)
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Description
Improvement of character recognition technology brings us various character recognition applications for mobile camera. However, many low-resolution and poor-quality character images exist, due to the influence of environment or motion blur. Therefore, we develop a character recognition system for ultra-low resolution character images less than 20^*20 pixels. The proposed system consists of three phases of increased training data with a generative learning method, creating a deblurred high-resolution image with Wiener filter and image alignment, and recognition by efficient Mutual Subspace Method. We examined our system and confirmed the improvement of accuracy and efficiency of the recognition process.
Journal
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- Technical report of IEICE. PRMU
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Technical report of IEICE. PRMU 114 (454), 95-96, 2015-02-12
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1571698602433138688
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- NII Article ID
- 110010011727
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- NII Book ID
- AN10541106
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- Text Lang
- ja
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- Data Source
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- CiNii Articles