Recognizing characters in a scene image taken by a digital
camera has been studied for decades. However, it is still
a challenging problem to achieve high accuracy. In this paper,
we propose a method of embedding information in a
character pattern so that the class of the character can be
identified. The information should be robust against geometric
distortions since an image taken by a digital camera
is usually geometrically distorted. In the proposed method,
a character pattern is designed in two colors so that the information
is embedded as the area ratio of regions of two
colors. Since the area ratio is affine invariant, it is expected
that the area ratio is correctly extracted even if a character
image is affine-transformed. We generate character patterns
with the embedded information and discuss the effectiveness
of the proposed method.
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