Face comparing verification method based on multi-instance learning

Abstract

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.

Description

technical field [0001] The invention relates to the technical fields of image processing, pattern recognition and computer vision, in particular to a face verification method based on multi-instance learning. Background technique [0002] Face comparison verification is to determine whether the face to be recognized belongs to someone, that is, the problem of "same or not", which is a one-to-one matching process. The system first finds the stored face image according to the claimed identity (such as name or user name) of the person to be recognized, and then compares the stored image with the face image to be recognized according to a certain decision-making or matching principle. Thereby judging the authenticity of the identity of the person to be identified. Face comparison verification can be widely used in computer-based automatic identity verification of second-generation ID cards, passports, driver's licenses, admission tickets, passes, and student ID cards. [0003]...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the shortcomings and deficiencies of the existing face comparison and verification technology, to provide a face comparison and verification method based on multi-instance learning, to overcome the problems of hairstyle, makeup and micro-plastic surgery in face verification, and to solve the problems Face comparison verification provides an effective algorithm and idea

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