The present application relates to computer vision processing in artificial intelligence, and provides a feature extraction-based image recognition method, comprising the following steps: in response to an image recognition instruction, obtaining image information of an object to be recognized; extracting a first feature from the image information, and obtaining a first candidate record from a recognition library on the basis of the first feature, wherein the first candidate record comprises a first reference feature, a second reference feature, and an object identifier, and a first similarity between the first reference feature in the first candidate record and the first feature is greater than a first threshold; extracting a second feature from the image information, and calculating a second similarity between the second reference feature in the first candidate record and the second feature; correcting the second similarity on the basis of the first similarity to obtain a corrected similarity; taking the first candidate record having the highest corrected similarity as a target candidate record; and taking the object identifier comprised in the target candidate record as the recognition result of the image information and outputting the recognition result.
FEATURE EXTRACTION-BASED IMAGE RECOGNITION METHOD AND IMAGE RECOGNITION DEVICE