提出了一种快速识别阿拉伯数字０～９的算法，用于飞机仪表参数的识别。这种算法基于二值图像，先从二值图像中找出各数字的特征，然后再用决策树对这些数字进行分类。该方法不需对图像进行如细化、轮廓跟踪等处理，节省了大量图像处理时间，具有较高的识别速度，因而可用于实时识别。 An algorithm for fast identification of Arabic numerals 0 ~ 9 is proposed for the identification of aircraft instrument parameters. Based on binary images, this algorithm first finds out the features of each figure from the binary image, and then classifies these figures by decision tree. This method does not need to deal with the image such as refinement, contour tracking and so on, saves a lot of image processing time, has a high recognition speed, which can be used for real-time identification.