In order to realize accurate camera-based character
recognition, machine-readable class information is embedded
into each character image. Specifically, each character
image is printed with a pattern which comprises five
stripes and the cross ratio derived from the pattern represents
class information. Since the cross ratio is a projective
invariant, the class information is extracted correctly
regardless of camera angle. The results of simulation experiments
showed that recognition rates over 99% were obtained
by the extracted cross ratio under heavy projective
distortions.
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