Small data set face recognition algorithm based on machine vision

Abstract

The invention discloses a small data set face recognition algorithm based on machine vision, which comprises the following steps: 1) construction and pretreatment of the data set; 2) generating a virtual image for a category with insufficient images by using a generated antagonistic network; 3) carrying out data expansion on all kinds of images by using a data enhancement algorithm; 4) using convolution neural network to construct a model suitable for data; 5) training the design model; 6) using a camera to obtain a target image, importing the trained model, and carrying out face recognition.The algorithm of the invention can carry out face recognition with high accuracy for application scenes lacking face data.

Description

technical field

[0001] The invention relates to the technical field of image pattern recognition, in particular to a machine vision-based face recognition algorithm for a small data set. Background technique

[0002] Face recognition is a biometric technology for identification based on human facial feature information. Compared with biotechnology such as iris and fingerprints, its significant advantage is that the face information is rich, the information collection is intuitive, natural and non-contact, and it can be operated at a long distance. Due to the increasing demand for facial analysis and modeling in the fields of public security, identity authentication, and digital entertainment industry, face recognition technology has attracted more and more attention from academia and industry. Face recognition has a wide range of application scenarios, such as entrances and exits of important passages, building access control systems, Internet login verification, etc. Some ...

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