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Automatic recognition of the pointer type meter based on the machine vision is of great significance. Aiming at the shortage of low recognition accuracy in the existing methods, a visual reading method based on calibration for pointer type meter is proposed. Firstly, the largest and smallest scale lines of the instrument dial are recognized and their slopes are calculated according to the calibrating template; Secondly, the approximate region of the pointer is obtained by preprocessing the image of instrument dial and filtering the connected regions. Then, the Hough and edge clustering and fitting method are integrated to get the precise position of the edge of the instrument pointer, and then the recognition and reading of the pointer data are realized. Finally, an arrester monitor of a certain brand was used to verify the above method experimentally. The results showed that the pointer reading could be recognized accurately and steadily with this method.