The invention belongs to the technical field of fingerprint comparison, and relates to a fingerprint comparison method and system based on deep learning, a readable medium and equipment, and the method comprises the following steps: S1, inputting a fingerprint image into a deep learning model for texture feature extraction, and storing the extracted texture features into a texture feature database; S2, inputting fingerprint images to be compared into the deep learning model for feature extraction, and extracting texture features, detail features and dictionary features; S3, inputting the textural features obtained in the step 2 into the textural feature database in the step S1, obtaining fingerprint images matched with the textural features, and generating a fingerprint image candidate list; and S4, comparing the detail features of the fingerprint images to be compared with the fingerprint images in the fingerprint image candidate list, and generating a fingerprint comparison result list in combination with the dictionary features. According to the invention, fingerprint features can be identified more quickly and accurately.