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Face recognition method based on 4dlbp

A face recognition and face image technology, applied in the field of face recognition based on 4DLBP, can solve problems such as underutilization, and achieve the effect of eliminating influence and improving performance

Inactive Publication Date: 2018-03-02
TIANJIN UNIV OF SCI & TECH
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Problems solved by technology

However, the LBP operator regards feature extraction as a single process and does not make full use of the relationship between samples.

Method used

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  • Face recognition method based on 4dlbp
  • Face recognition method based on 4dlbp
  • Face recognition method based on 4dlbp

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Embodiment Construction

[0014] The present invention will be further described in detail below through the specific examples, the following examples are only descriptive, not restrictive, and cannot limit the protection scope of the present invention with this.

[0015] A face recognition method based on 4DLBP, see figure 1 , including the following steps: image preprocessing, 4DLBP feature extraction, ELM training classification, wherein ELM (Extrem Learning Machine, extreme learning machine) training classification includes two stages: training image set stage and test image set stage, each stage is respectively for The face image is preprocessed, and the 4DLBP features are extracted from the sub-images of the image, and the features obtained by each sub-image are concatenated to obtain the 4DLBP features of the entire face, and then the extracted 4DLBP features of the face are used as the ELM classification The input of the device is used for training and testing, and finally the category of the i...

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Abstract

The invention relates to a human-face identification method based on 4DLBP (4-Dimnesional Local Binary Patterns). The human-face identification method based on 4DLBP comprises the following steps including image preprocessing, 4DLBP characteristic extraction and ELM (Extreme Learning Machine) training classification, wherein the ELM training classification comprises two stages: a training image set stage and a test image set stage, human-face images are respectively subjected to image preprocessing in each stage, subblock sub images of the images are subjected to 4DLBP characteristic extraction, characteristics obtained from each block of sub images are connected in series for obtaining the 4DLBP characteristics of the whole human face, then, the extracted human-face 4DLBP characteristics are utilized as the input of an ELM classifier for carrying on training and testing, finally, classes of the images are obtained, and the identifying is completed. The human-face identification method has the advantages that center point pixel values are added on the basis of 3DLBP (3-Dimensional Local Binary Patterns) for forming the 4DLBP characteristics, the human-face image local characteristics can be effectively extracted for improving the human-face identification performance.

Description

technical field [0001] The invention belongs to the field of biological feature recognition, in particular to a face recognition method based on 4DLBP. Background technique [0002] Face recognition technology is an important topic in biometric technology, and it is a very active research direction at present. Compared with using other biometrics for identification, face recognition has the advantages of directness, convenience, friendliness, and non-invasiveness, so it has extremely broad application prospects. However, there are also some difficulties in the development of face recognition. First of all, the face is a three-dimensional non-rigid irregular surface; secondly, the face will change with age, health and expression; thirdly, when collecting face images, different lighting and angles will affect face recognition ground accuracy. Since the mechanism of face recognition by the human brain is still unknown, robot face recognition is still in the stage of explorat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
Inventor 杨巨成王超熊聪聪陈亚瑞吴超刘建征董颂张晓元
Owner TIANJIN UNIV OF SCI & TECH
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