实验结果显示，采用模糊支持向量机有效地提高了识别准确度。
The experiments show using fuzzy support vector machine significantly improves the overall recognition rate.
在实用语音识别系统中，为了尽可能提高识别准确度，可以借助词语间的约束关系来辅助话句的判识。
On a pragmatic speech recognition system, in order to make the recognition accuracy as high as possible, syntax constraint can be used.
同时，针对系统图像倾斜和系统固有的刻线圆周角，进行了适当的修正，使系统最终识别准确度满足要求。
In addition, image sloping and inherent reticle circle Angle are amended. The ultimate orientation accuracy meets system's need.
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