手写字符识别

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HWR
手写字符识别(HWR)高级算法专家工程师
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[计] handwritten character recognition
...关键词: 手写字符识别 梯度归一化分段线性归一化函数模糊梯度特征[gap=1196]Key words: handwritten character recognition; gradient normalization; piecewise linear normalization function; fuzzy gradien...

短语

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要提高脱机手写字符识别的识别率，关键是特征的提取。
Extraction of features is critical to improve the recognition rate of off-line handwritten characters.
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提出一种应用于手写字符识别的基于梯度归一化模糊梯度特征提取方法。
A fuzzy gradient feature extraction method based on gradient normalization applied in handwritten character recognition is proposed.
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本文用到的方法对于在合理的模型假设下解决手写字符识别问题呈现了很大的潜力。
The proposed approach in this paper offers a great potential for solving difficult handwriting character recognition problems under reasonable assumptions.

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