The invention discloses a method for realizing intelligent reading of ammeter data. The invention relates to the technical field of computer vision and image recognition. The method comprises the following steps of processing an electric meter image according to hue, saturation, brightness and edge detection corresponding to an HSV model of an electric meter image; performing morphological processing and communication quantity processing, screening out non-conforming areas according to the fixed length-width ratio of a data display part area of the processed electric meter image, and completing positioning of a data area in the electric meter image to obtain a data image; then, using Radon transformation for carrying out inclination correction and other processing on the binarized data image to obtain a data character image; and finally, inputting the extracted features of the data character image into the BP neural network for identification, thereby obtaining corresponding ammeter data. The method is easy to implement, and the ammeter data can be read quickly; according to the invention, the obtained data result is faster and more accurate, and is convenient for ammeter reading personnel to understand and use.