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In order to solve the problem of poor efficiency and low accuracy of manual verification of surface characters on SD card(secure digital card), an optical character verification method based on centralized Jaccard matching was proposed, which can realize the precise detection and automatic verification of surface characters on SD card. Firstly, a rapid verification method based on HSV three-channel histogram was proposed, which can accurately detect SD card images with obvious apparent features. Secondly, aiming at the problem that the character verification accuracy of SD card was affected by illumination changes and micro rotations, the resistance of HOG features to illumination and rotation changes was optimized by extracting V-channel images and changing angle features, and the detection accuracy was improved. Finally, aiming at the verification problem of similar characters on SD card, a centralized generalized Jaccard coefficient was proposed, which enhances the discrimination of similarity index and realizes the precise detection of similar images. The proposed method is verified and analyzed based on the data collected in the actual scenario, and the test results show that the accuracy of the detection algorithm reaches 99.15%, which has good practicability and robustness.