The invention discloses a face comparing verification method based on multi-instance learning, applied to a people and certificate consistency verification occasion. The method performs face comparing verification based on the thought of multi-instance learning, and comprises the following steps of: S1, face image preprocessing; S2, face multi-instance learning training; and S3, face verification. The face image preprocessing step comprises face detection, feature point locating and DoG light treatment; the face multi-instance learning training step comprises face multi-instance definition, multi-instance feature extraction and multi-instance feature fusion; and the face verification step is to perform face consistency verification according to stock equity of each instance and similarity of matched instances in the step S2. The method solves a difficult problem of change of hair style, skin color, making up, micro plastic, and so on, in face comparing verification, provides an effective algorithm and a train of thought for face verification, and improves reliability of face verification. The method provided by the invention can be widely applied to the people and certificate consistency verification occasion for checking whether certificates, such as a 2nd-generation ID card, a passport, a driving license and a student ID card, are held by owners thereof or not.