This paper designs a set of digital identification system for the taxi meter, which is used to replace the manual work of unmanned verification of the meter. Through the SIFT template matching algorithm, the position of the meter in the video screen is accurately located and the target image is corrected into a front view. Finally, locate the position of the jump number according to the label of the template image. Aiming at the number type displayed by the meter, a number recognition algorithm based on the seven-segment code principle is developed. Field tests show that the recognition rate of a single frame image reaches 100% when the digital positioning is accurate. In continuous video, when the digital transition process, the image is captured, which will cause recognition errors. After optimization, this error is judged as a digital jump. After detecting the jump of the meter's mileage, it immediately sends a signal to the verification station and records it. Experiments show that the video processing speed reaches 25 fps, which far exceeds the limit of human eye resolution, and can replace the manual verification of the digital jump of the meter.