Multi-level human face comparison system and method

A face comparison and comparison technology, applied in the field of face comparison system, can solve problems such as difficult implementation and complicated process, and achieve the effect of reducing misjudgment, improving accuracy and improving adaptability

Inactive Publication Date: 2015-04-22
桂林远望智能通信科技有限公司
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The process of establishing a complete standard comparison library is complicated
In many practical scenarios, it is di

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-level human face comparison system and method
  • Multi-level human face comparison system and method
  • Multi-level human face comparison system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention. like figure 1 and image 3 As shown, a multi-level face comparison method includes the following steps:

[0041] Step S1: the conversion module 1 converts the first face image into the first grayscale image, and the extraction module 2 extracts the overall features and local features of the first grayscale image and saves them in the standard comparison library 4;

[0042] Step S2: Transformation module 1 converts the second face image into a second grayscale image, extraction module 2 extracts the overall features of the second grayscale image, and sends the overall features of the second grayscale image and the first grayscale image into The overall comparison module 3 is compared;

[0043] Step S3: If the compar...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a multi-level human face comparison system and method. The method comprises the following steps that a first human face image is transformed into a first grey level image, and the overall feature and the local feature of the first grey level image are extracted and saved; a second human face image is transformed into a second grey level image, the overall feature of the second grey level image is extracted, and the overall feature of the second grey level image is compared with the overall feature of the first grey level image; if comparison succeeds, the local feature of the second grey level image is extracted, and the local feature and the overall feature of the second grey level image are put into a standard comparison library; if comparison fails, the local feature of the second grey level image is extracted and compared with the local feature of the first grey level image; if comparison succeeds, the local feature and the overall feature of the second grey level image are put into the standard comparison library. Compared with the prior art, overall comparison and local comparison are combined, and thus the accuracy of human face comparison is improved; furthermore, the comparison standard can be automatically updated, and the application range is enlarged.

Description

technical field [0001] The invention relates to the technical field of biometric feature recognition, in particular to a face comparison system and method capable of self-learning by combining multi-level comparisons. Background technique [0002] Face recognition technology is becoming more and more mature, attracting more and more attention, and has been applied in many fields; face comparison is a key link in the process of face recognition, and the existing face comparison methods are mainly from the whole Extracting global features or local features from face images, and improving the performance of face comparison through overall comparison has entered a bottleneck. With the advancement of image and video technology, the resolution of pictures obtained by camera equipment continues to increase, and the obtained face The resolution of local areas, especially the eyes, nose, mouth and other organs is getting higher and higher. Due to the low resolution of the obtained lo...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/64G06K9/46
CPCG06V40/169
Inventor 蔡晓东朱利伟甘凯今王丽娟梁奔香杨超刘馨婷华娜吴迪陈文竹
Owner 桂林远望智能通信科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap