  Background elimination for noisy character images or character images from
real scene is still a challenging problem, due to the bewildering backgrounds,
uneven illumination, low resolution and different distortions. We propose a
stroke-based character reconstruction(SCR) method that use a weighted quadratic
Bezier curve(WQBC) to represent strokes of a character. Only training on our
synthetic data, our stroke extractor can achieve excellent reconstruction
effect in real scenes. Meanwhile. It can also help achieve great ability in
defending adversarial attacks of character recognizers.
