Data Embedding for Camera-Based Character Recognition

言語英語
種類国際会議等の予稿
著者Seiichi Uchida,Masakazu Iwamura,Shinichiro Omachi,Koichi Kise
論文名Data Embedding for Camera-Based Character Recognition
論文誌名Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005)
ページpp.60-67
発表場所Seoul, South Korea
査読の有無有
年月2005年8月
分野パターン認識, 文書画像解析
キーUchida2005_CBDAR (id=368)

要約

In this paper, the embedment of class information into each character image is investigated for camera-based character recognition as easy and accurate as bar-code reading. Each character image is printed with a horizontal stripe pattern, called a cross ratio pattern, and the class information is represented as a cross ratio derived from the pattern. Since the cross ratio is invariant to projective distortion, the class information is extracted correctly regardless of camera angle. Experimental results showed that the cross ratios are extracted from distorted character images with very high accuracy and thus very effective to attain high character recognition rates.

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