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Detail of Publication
Text Language |
Japanese |
Authors |
Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, and Koichi Kise |
Title |
Category Data Embedding for Camera-Based Character Recognition |
Journal |
電子情報通信学会論文誌D |
Vol. |
J89-D |
No. |
2 |
Pages |
pp.344-352 |
Month & Year |
February 2006 |
Abstract |
In this paper, we propose a data embedding method for camera-based
character recognition as easy and accurate as bar-code reading.
Specifically, a horizontal stripe pattern, called cross ratio pattern,
is embedded into a font image of a character category. Since the cross
ratio obtained from the pattern is invariant to projective distortion,
it always provides correct category candidates regardless of camera angle.
Experimental results showed that (i) the cross ratio can be extracted from
distorted character images with very high accuracy and thus (ii) the
cross ratio can be used for enhancing recognition performance
of conventional matching-based recognizers. |
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