Gender identification method and system based on multispectral fusion, storage medium and terminal

A gender identification and multi-spectral technology, applied in the field of storage media and terminals, systems, and gender identification methods based on multi-spectral fusion, can solve problems such as poor robustness, complex design, and low precision, and achieve improved accuracy and robustness The effect of high performance, strong feature learning ability, and small amount of calculation

Active Publication Date: 2020-09-22
XIDIAN UNIV
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Problems solved by technology

[0005] (1) Traditional gender recognition methods are mostly based on various manually designed feature extraction operators and classifiers. This type of method is complex in design, low in accuracy, and poor in robustness. It is difficult to accurately identify gender in complex environments. It is increasingly difficult to meet the current gender identification needs
[0006] (2) At present, most gender recognition technologies use visible light imaging methods. This ty

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  • Gender identification method and system based on multispectral fusion, storage medium and terminal
  • Gender identification method and system based on multispectral fusion, storage medium and terminal
  • Gender identification method and system based on multispectral fusion, storage medium and terminal

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Embodiment 1

[0068] Aiming at the problems existing in the prior art, the present invention provides a gender recognition method based on multispectral fusion.

[0069] Such as figure 1 As shown, the gender recognition method based on multi-spectral fusion provided by the invention comprises the following steps:

[0070] S101: Using multi-band cameras to collect face images and performing corresponding image preprocessing;

[0071] S102: Design a basic convolutional neural network module and use it for subsequent face image feature learning;

[0072] S103: Using the network module to perform pre-training on visible light and each sub-band infrared respectively, to obtain respective pre-training model parameters;

[0073] S104: Connect the network modules corresponding to visible light and each sub-band infrared in parallel, and add a multi-spectral feature fusion layer at the end of the network;

[0074] S105: Adding a fully connected layer behind the parallel fusion neural network for ...

Embodiment 2

[0132] On the basis of the above-mentioned embodiment 1, please refer to Figure 8 , Figure 8 It is a schematic diagram of a multi-spectral fusion gender recognition system provided by an embodiment of the present invention. An embodiment of the present invention provides a multi-spectral fusion gender recognition system, the system includes:

[0133] The image acquisition and preprocessing module is used for multispectral face image acquisition and image preprocessing in multiple bands of visible light and infrared.

[0134] Specifically, the image acquisition and preprocessing module of the embodiment of the present invention uses cameras in the visible light, near-infrared, short-wave infrared, mid-wave infrared, and long-wave infrared bands to collect face images; Adaptive preprocessing, in which visible light images are converted to grayscale images and normalized, near-infrared is used for contrast enhancement processing based on histogram equalization, short-wave inf...

Embodiment 3

[0147] On the basis of the above-mentioned embodiment 1, please refer to Figure 9 , Figure 9 It is a schematic flowchart of a computer program provided by an embodiment of the present invention. A computer program provided by an embodiment of the present invention implements the following steps when executed by a processor:

[0148] Step 1, the program starts and performs necessary initialization.

[0149] Step 2, using multi-spectral face image acquisition and image preprocessing of multiple bands of visible light and infrared.

[0150] Specifically, step 2 of the embodiment of the present invention uses cameras in the visible light, near-infrared, short-wave infrared, medium-wave infrared, and long-wave infrared bands to collect face images; and performs appropriate preprocessing on the face images in each sub-band , in which the visible light image is converted into a grayscale image and normalized, the near-infrared is used for contrast enhancement processing based on...

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Abstract

The invention belongs to the technical field of digital image processing and pattern recognition, and discloses a gender recognition method and system based on multispectral fusion, a storage medium and a terminal. A camera with multiple wavebands is utilized for acquiring a face image and performing image preprocessing. A convolutional neural network module is used for subsequent face image feature learning; respectively pre-training the visible light and the infrared rays of each sub-band to obtain respective pre-training model parameters; connecting the network modules corresponding to thevisible light and the sub-band infrared rays in parallel, and adding a multispectral feature fusion layer at the tail end of the network; and adding a full connection layer behind the parallel fusiontype neural network for identification and classification, and performing retraining by using multispectral data to obtain a final gender identification result. When the method is implemented, specific fusion sub-bands can be selected and combined from five sub-bands of visible light, near infrared, short-wave infrared, medium-wave infrared and long-wave infrared; and the method has the characteristics of high precision and relatively high robustness.

Description

technical field [0001] The invention belongs to the technical field of digital image processing and pattern recognition, and in particular relates to a gender recognition method, system, storage medium and terminal based on multispectral fusion. Background technique [0002] At present, the world has entered the information age in an all-round way, and gender information in modern society is an important demographic attribute that cannot be ignored. In recent years, since the gender information of population attributes has been widely used in personnel monitoring, population research, content indexing, targeted advertising and other fields, research on using computer vision technology to identify gender attributes has gained great attention. [0003] Traditional gender recognition methods are mostly based on various manually designed feature extraction operators and classifiers. This type of method is complex in design, low in precision, and poor in robustness. It is difficu...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/168G06V40/172G06N3/045
Inventor 赵恒曹志诚秦国立庞辽军
Owner XIDIAN UNIV
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