Text Image Enhancemanet in Scenery Images for Degraded Character Recognition
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概要
- 論文の詳細を見る
This paper proposes a method to enhance text images for a system which extracts, recognizes and translates characters in scenery images captured by a digital camera. The proposed method magnifies text images in frequency domain. It restores high-frequency component caused by JPEG(Joint Photographic Experts Group) compression and reduces mosquito noise and block noise caused by magnification process. The obtained enhanced text images are binarized and then recognized by a commercial character recognition software. Experiments are performed for printed documents, sign boards and plates captured by a digital camera. In our experiments, texts are manually extracted from images because our goal in this paper is image enhancement. Compared with traditional approaches, the recognition ratio for our enhanced images by using a commercial character recognition software improves.
- 社団法人電子情報通信学会の論文
- 2003-01-15
著者
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TAKAHASHI Hiroki
Graduate School of Information Science, Nara Institute of Science and Technology
-
Nakajima Masayuki
Graduate School Of Information And Engineering Tokyo Institute Of Technology
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Ogata Kousuke
Graduate School of Information Science & Engineering, Tokyo Institute of Technology,
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Ogata Kousuke
Graduate School Of Information Science & Engineering Tokyo Institute Of Technology
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Takahashi Hiroki
Graduate School Of Human And Environmental Studies Kyoto University
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Takahashi Hiroki
Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan
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Nakajima Masayuki
Graduate School of Information Science & Engineering, Tokyo Institute of Technology,
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