首先对手写体字符图像进行平滑，同时获取字符的轮廓点。

The images of handwritten characters are smoothed and its contour points are obtained.

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而对于手写体字符，系统采用BP神经网络来实现字符的识别。

And for the handwriting character the system adopts BP neural network to realize the recognition.

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经实验表明，印刷体字符的识别准确率为95.5%，手写体字符的识别准确率为90.3%。

The experiments show that the recognition accuracy of printing character is 95.5% and the recognition accuracy of handwriting character is 90.3%.

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