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A Face Recognition Method Based on Face Image Feature Extreme Learning Machine

An extreme learning machine and face image technology, applied in the field of automatic face image recognition, can solve the problem that the speed cannot meet the actual demand, and achieve the effect of high face recognition rate

Active Publication Date: 2018-12-14
WUHAN INSTITUTE OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the traditional learning algorithm needs to iterate all the parameters in the training network, and the speed is far from meeting the actual needs.

Method used

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  • A Face Recognition Method Based on Face Image Feature Extreme Learning Machine
  • A Face Recognition Method Based on Face Image Feature Extreme Learning Machine
  • A Face Recognition Method Based on Face Image Feature Extreme Learning Machine

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Embodiment Construction

[0036] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] A face recognition method based on face image feature extreme learning machine, comprising the following steps:

[0038] Step 1, the face image is enhanced, normalized, etc., to obtain a standardized face image with the same size and the same gray value. What adopt in the embodiment is the face image of att face database, and the image size is 112*92 pixels.

[0039] Step 2, for an m×n face image, first expand the pixels of the image by rows to form a column vector D, where D is an mn×1 column vector. Let N be the total number of training samples, Xi represents the vector of the i-th face image, and the covariance ...

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Abstract

The invention discloses a face recognition method based on a face image feature extreme learning machine. The method comprises steps as follows: preprocessing original images; performing principal component analysis on samples to obtain feature face spectrums, and projecting the images into a feature domain; then establishing the mapping relation between face images and face tags with an extreme learning machine algorithm; finally, deducting tag attributes input into the face images by using the extreme learning machine. According to the method, the advantages of the extreme learning machine are taken, the complexity of estimation and optimization of parameters of a traditional neural network is decreased, the training time is further shortened, and the recognition rate of the face images is further increased.

Description

technical field [0001] The invention relates to the technical field of automatic face image recognition, in particular to a face recognition method based on an extreme learning machine for face image features. Background technique [0002] At present, face recognition technology has become a hot research issue. After the image is obtained by electronic equipment, we can obtain the face information image in the image through the detection algorithm. Due to the large original dimension of the image and the existence of redundant information, we cannot directly identify and match the face image. Therefore, we must extract the features of face information, and finally use a certain classification method to match with the face database to obtain the recognition result. The face recognition application is given an input face image, and recognizes its registered face identity information. Simply speaking, the whole process of face recognition can be divided into three stages: pre...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/66
Inventor 卢涛杨威张彦铎李晓林万永静余军鲁统伟闵锋周华兵朱锐李迅魏运运黄爽段艳会张玉敏
Owner WUHAN INSTITUTE OF TECHNOLOGY
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