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
Reviewed
Date
August 2005
Research fields
Pattern recognition, Document Image Analysis
Key
Uchida2005_CBDAR (id=368)
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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