在图象处理算法中，应用图象全局二值化方法、字符“有效行”特征的提取和双BP神经网络，对手写体字符的识别取得了良好的效果。

With the way of binarization by globe threshold, the extracting mathod of "effective-rows" feature of handwriting numerals and recognition mathod of two parallel BP networks, good result is acquired.

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针对已抽取海岸边缘特征并二值化的电子海图和已提取海岸边缘特征并缩放至海图比例的实时雷达图像进行匹配。

The paper works with a binary electronic chart which has extracted the characteristics of coastal edge and a binary radar image which has been zoomed out in electronic chart at real-time.

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该方法避免了一些传统汉字特征提取方法需要对图象进行二值化操作而造成的汉字字符结构信息丢失。

As a result, the proposed method avoids the binary operation used in some traditional Chinese character feature extractions that will seriously destroy the Chinese character structure.

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