Boundary normalization for recognition of non-touching non-degraded characters

M. Szmurlo
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引用次数: 6

Abstract

Presents a new approach to the recognition of non-touching, non-degraded characters. Our methods works on boundary functions of characters and attempts to normalize these functions to orientation and size variations of the symbols. This allows us to apply any 1D transform in order to extract invariant features. We validated this approach by performing several experiments on both printed and handwritten characters. The tests show that our method compares favorably to other methods described in the literature, both from the recognition accuracy and processing speed points of view.
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非接触非退化字符识别的边界归一化
提出了一种非接触、非退化字符识别的新方法。我们的方法在字符的边界函数上工作,并试图将这些函数归一化到符号的方向和大小变化。这允许我们应用任意一维变换来提取不变特征。我们通过对印刷和手写字符进行几个实验来验证这种方法。实验表明,无论从识别精度还是处理速度上,我们的方法都优于文献中描述的其他方法。
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