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A Face Recognition Method Based on Image Feature Fusion and Comparison Technology

An image feature and face recognition technology, applied in the field of face recognition, can solve the problems of identifying large crowds, large collection range, and difficulty in arresting criminals, etc., and achieve the effect of improving image quality and high matching accuracy

Inactive Publication Date: 2020-11-10
LIAONING UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current face recognition technology has a large collection range and recognizes a large number of people, making it difficult to catch criminals

Method used

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  • A Face Recognition Method Based on Image Feature Fusion and Comparison Technology
  • A Face Recognition Method Based on Image Feature Fusion and Comparison Technology
  • A Face Recognition Method Based on Image Feature Fusion and Comparison Technology

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Embodiment Construction

[0049] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0050] Such as figure 1 As shown, the present invention provides a face recognition method based on image feature fusion and comparison technology, which is implemented according to the following steps:

[0051] Step S110: In the present invention, first collect images, use electronic eyes to collect images within a certain range of a specific location, and the collected images include video or picture information.

[0052] Step S120: Image preprocessing Process the collected original image according to the following process:

[0053] Step S121: grayscale image, first input the collected image data to obtain the RGB three component values ​​of the original image, then calculate the pixel grayscale value through the formula, and finally obtain the grayscale image through the ...

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Abstract

The invention provides a face recognition method based on image feature fusion and comparison technology, comprising: step 1, using electronic equipment to collect real-time image samples; Threshold segmentation of the high-degree image, and then use histogram equalization processing, and finally use the filtering method to filter out independent noise, and obtain the preprocessed image sample; step 3, perform portrait analysis on the image sample, and perform feature extraction to calculate the image In the area of ​​the portrait, the proportion of the eyes of the portrait is obtained, and the eye vector is corrected; step 4, comparing the similarity between the original image of the target person and the comparison portrait, and identifying the target person, the present invention extracts facial features, and Correction of important eye features improves image quality and improves matching accuracy.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face recognition method based on image feature fusion and comparison technology. Background technique [0002] Face recognition is a biometric technology invention based on human facial feature information, especially in the public security department, which has played a major role in arresting criminals and finding missing persons. However, the current face recognition technology has a large collection range and recognizes a large number of people, making it still difficult to catch criminals. Contents of the invention [0003] The invention provides a face recognition method based on image feature fusion and comparison technology, extracts face features, and corrects important eye features, improves image quality, and has higher matching accuracy. [0004] The present invention also designs and develops a face recognition method based on image feature fusion and c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/168G06V40/172G06V10/751G06F18/253
Inventor 李昕褚治广张巍蔡盼
Owner LIAONING UNIVERSITY OF TECHNOLOGY