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A Face Recognition Method Under Complex Illumination Conditions Underground Coal Mine

A technology of lighting conditions and face recognition, applied in the field of face recognition and adaptive face recognition, can solve the problems of reduced recognition rate and unsatisfactory face recognition technology.

Active Publication Date: 2021-11-19
CHINA UNIV OF MINING & TECH (BEIJING)
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide a face recognition method in coal mines, and solve the problem that the existing face recognition technology cannot meet the image shadows, bright and dark areas, and dark light caused by complex lighting conditions in the mine. , The sharp reduction in the recognition rate caused by high light

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  • A Face Recognition Method Under Complex Illumination Conditions Underground Coal Mine
  • A Face Recognition Method Under Complex Illumination Conditions Underground Coal Mine
  • A Face Recognition Method Under Complex Illumination Conditions Underground Coal Mine

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Embodiment Construction

[0032] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution and specific implementation methods of the present invention will be clearly and completely described below in conjunction with the accompanying drawings.

[0033] The process of establishing a classifier model for a face recognition method under complex lighting conditions in coal mines is as follows: figure 1 As shown; it mainly includes the initialization phase and the training phase. The initialization phase includes image acquisition, image storage, image enhancement, image denoising, and feature description. The training phase includes feature vector dimensionality reduction and classifier model establishment;

[0034] Its specific implementation steps are as follows:

[0035] (1) Sample image acquisition (101): In the complex lighting environment underground, face image acquisition is performed on an explosion-proof visible light camera or infr...

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Abstract

The invention discloses a face recognition method under complex lighting conditions in coal mines, which mainly includes an initialization stage, a training stage and a recognition stage, wherein the initialization stage includes image acquisition, image storage, image denoising, image enhancement, and feature description , the training stage includes eigenvector dimensionality reduction and classifier model establishment, and the recognition stage is to classify and recognize the faces to be recognized according to the model established by the classifier; by adopting the fuzzy enhancement algorithm of wavelet decomposition, image denoising and The image is enhanced, and the ALBP operator is used to describe the features of the wavelet-processed face image, and the classifier is used to construct the face model and establish a face sample database. The invention can overcome the problem of a sharp reduction in recognition rate caused by image shadows, bright and dark areas, dark light, and high light caused by complex underground lighting conditions, and can improve the accuracy of face attendance recognition in coal mines.

Description

technical field [0001] The invention relates to a face recognition method under complex lighting conditions in coal mines, in particular to an adaptive face recognition method using image enhancement and online training through a classifier, belonging to the technical field of image pattern recognition. Background technique [0002] The current general process of face recognition is as follows: the recognition system inputs a face image containing an unidentified identity as a sample to be recognized, and several face images with known identities in the face database as training samples, and outputs the image to be recognized through an algorithm. Similarity of samples to indicate the identity of persons in unidentified face images. The face recognition method mainly includes two parts: feature extraction and similarity calculation. [0003] Face recognition technology is of great significance in applications such as video surveillance, work attendance, and personnel positi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/168G06V40/172G06F18/22
Inventor 范伟强霍跃华
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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