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Small data set face recognition algorithm based on machine vision

A machine vision, small data technology, applied in character and pattern recognition, instruments, computing, etc., can solve problems such as difficulty in adapting to face recognition needs, inability to meet application scenarios, and long training time.

Active Publication Date: 2018-10-26
SOUTH CHINA UNIV OF TECH
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  • Abstract
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AI Technical Summary

Problems solved by technology

By obtaining a large amount of face data, training a deep neural network model, and then performing recognition, the accuracy rate is high and the robustness is strong, but it requires massive data, long training time and powerful hardware conditions, and specific application scenarios cannot meet the requirements
The above limitations make it difficult for current face recognition methods to adapt to the face recognition needs of small data sets under unrestricted conditions.

Method used

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  • Small data set face recognition algorithm based on machine vision
  • Small data set face recognition algorithm based on machine vision
  • Small data set face recognition algorithm based on machine vision

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Embodiment Construction

[0113] The present invention will be further described below in conjunction with specific examples.

[0114] like figure 1 and figure 2 As shown, the small data set face recognition algorithm based on machine vision provided by this embodiment includes the following steps:

[0115] 1) Dataset construction and preprocessing

[0116] The face image set captured in the actual scene is used, that is, the original data set. The face image set is characterized by being small and unbalanced, the total number of images is small, and the amount of data between categories varies greatly. Use the existing machine learning library dlib face detection tool to realize face detection and face alignment on the original image, and cut out the target face to ensure that the acquired image meets the basic requirements of face recognition, that is, remove the redundant background.

[0117] 2) Use the generation confrontation network to generate virtual images for less categories of images, s...

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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 ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/36G06K9/62G06N3/04
CPCG06N3/04G06V40/172G06V10/20G06F18/214
Inventor 田联房张枫杜启亮
Owner SOUTH CHINA UNIV OF TECH
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