Character Recognition at Low Resolution with Video Camera.

Kosai, Jun; Kato, Kunihito; Yamamoto, Kazuhiko

doi:10.3169/itej.53.867

The Journal of the Institute of Image Information and Televisio

1999

DOI: 10.3169/itej.53.867

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Character Recognition at Low Resolution with Video Camera.

Jun Kosai¹,

Kunihito Kato²,

Kazuhiko Yamamoto³

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2005

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Cited by 2 publications

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Superresolved image synthesis for multiple-plane scenes captured with an uncalibrated moving camera

Sei

Saitō

2005

Syst. Comp. Jpn.

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SUMMARYIn this paper, the authors propose a method to take a video sequence photographed with an uncalibrated moving camera and use the projected relationship between each frame in the sequence to merge all the frames together and generate a superresolved image, that is, one with higher resolution than the source images. By assuming that the scene can be approximated with multiple plane patches, the images are merged using a homography derived from a fundamental matrix estimated across each frame for each plane patch. In this method, blurring occurs in the generated image as a result of positional errors in the images being synthesized: this is turned to advantage in an optimization process that maximizes the energy of the high-frequency components in the generated image; the correspondence among plane-patch vertex frames, needed to derive the homography, is used to estimate subpixel precision. To prove the effectiveness of this method, the authors conducted experiments with actual images and were able to improve resolution beyond the level of the original image.

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Superresolved image synthesis for multiple-plane scenes captured with an uncalibrated moving camera

Sei

Saitō

2005

Syst. Comp. Jpn.

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Text Image Enhancement in Scenery Images for Degraded Character Recognition using DCT

Takahashi

Nakajima

2005

The Journal of the Society for Art and Science

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This paper proposes a method to enhance text images for a system which extracts, recognizes and translates multi-lingual characters in scenery images captured by a digital camera. The proposed method magnifies text images in frequency domain. It restores high-frequency components by a DCT(Discrete Cosine Transform) based approach with an estimated enlarged image, and reduces mosquito and block noises caused by JPEG(Joint Photographic Experts Group) compression in the enhanced 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.

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Character Recognition at Low Resolution with Video Camera.

Cited by 2 publications

References 0 publications

Superresolved image synthesis for multiple-plane scenes captured with an uncalibrated moving camera

Superresolved image synthesis for multiple-plane scenes captured with an uncalibrated moving camera

Text Image Enhancement in Scenery Images for Degraded Character Recognition using DCT

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