Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Feature weighted face identification algorithm

A face recognition and feature weighting technology, applied in the face field, can solve problems such as information loss, recognition accuracy needs to be improved, and images are easily ignored.

Inactive Publication Date: 2015-08-26
福建省智慧物联网研究院有限责任公司
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, using the PCA method, it is easy to ignore other components of the image, and the recognition accuracy still needs to be improved.
Since then, people have also proposed to use classifiers to classify faces, such as support vector machine (SVM) to classify and regress face data. This method is widely used and can process any data, but its accuracy is not the same as The input face feature values ​​have a greater relationship
The face recognition method based on wavelet transform, through the multi-scale decomposition of the image, can decompose the face into different parts with high and low frequencies. Usually, the low-frequency part with rich image information is used for face recognition. The method has achieved certain results and improved. Improve the recognition accuracy, but remove the high-frequency part of the image, resulting in the loss of part of the information

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
  • Feature weighted face identification algorithm
  • Feature weighted face identification algorithm
  • Feature weighted face identification algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments.

[0047] As a specific example, such as figure 1 and figure 2 As shown, a new type of examination face authentication system of the present invention includes a data collection device, a data processing device, a cloud storage server and a plurality of entry verification collection devices, and the data collection device is established with the data processing device through a wired or wireless Internet. Data communication connection, the data processing device establishes a data communication connection with the cloud storage server through a wired or wireless local area network,

[0048] The data acquisition device collects character information and image information and generates collected data, which is sent to the data processing device in real time; the data processing device stores the collected data in the corresponding regional classificatio...

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 feature weighted face identification algorithm, belongs to the field of human face technology. The feature weighted face identification algorithm comprises the steps that a face image is decomposed into high and low frequency components via wavelet transformation, principal component analysis (PCA) is carried out on the different components to extract feature images, weighing is carried out by an AHP algorithm according to the significance of the components, and a support vector machine (SVM) is used for classification and identification. The image identification rate is highest, and all main information of images is used for identification.

Description

technical field [0001] The invention relates to the field of face technology, in particular to a feature-weighted face recognition algorithm. Background technique [0002] At present, face recognition technology is more and more widely used, such as: face recognition access control system, monitoring system, etc. It has become a hot spot in the field of artificial intelligence and pattern recognition research [1][2]. However, there are still many areas for improvement in face recognition algorithms, such as feature extraction, dimension control, and recognition accuracy. [0003] Due to the relatively high dimensionality of face images, it is common practice to reduce the dimensionality of face images to extract eigenfaces, and then compare them. Among them, principal component analysis (PCA) is to reduce the dimensionality of the image, obtain the principal components of the face image, remove the correlation of the original data, generate the eigenface, and then compare ...

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): G06K9/00G06K9/62
CPCG06V40/172G06F18/2411
Inventor 庄弘
Owner 福建省智慧物联网研究院有限责任公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com