Japanese / English

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)
Pages pp.60-67
Location Seoul, South Korea
Reviewed or not Reviewed
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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