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Detail of Publication
Text Language |
English |
Authors |
Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, and Koichi Kise |
Title |
Data Embedding for Camera-Based Character Recognition |
Journal |
Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005) |
Month & Year |
August 2005 |
Abstract |
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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