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

A method for identifying the gender of a human face

A recognition method and gender technology, applied in the field of face recognition, can solve the problem of not being able to further use face image data, and achieve the effect of automatic intelligent management

Active Publication Date: 2018-04-24
广州远信网络科技发展有限公司
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, the above-mentioned prior art can only provide a system or method for face recognition, and cannot further utilize face image data to provide more detailed analysis and processing, such as the user's gender, skin, facial feature similarity, and Analytical functions such as age to cater to specific needs of users

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
  • A method for identifying the gender of a human face
  • A method for identifying the gender of a human face
  • A method for identifying the gender of a human face

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. The schematic implementation and description of the present invention are used to explain the present invention, but are not intended to limit the present invention.

[0031] Before implementing the recognition method according to the embodiment of the present invention, various sufficient color image databases can be established in advance. In order to verify the effectiveness of this identification method, a custom database combined with the FERET database can be used. The FERET database is the most commonly used image database for face recognition tasks, but the number of faces of different individuals it contains is not enough to support this recognition method, so it is necessary to collect and build its own image database. The face image faces extracted from the database are automatically detected by the AdaBoost face detection...

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 present invention relates to the technical field of face recognition, in particular to a method for recognizing the gender of a face, which comprises the following steps in sequence: acquiring a face image; detecting whether the face image contains a face; converting the face image into pixels The gray histogram of the point; calculate the appropriate amount of features; convert it to the kernel of the basis function; calculate the object gender discrimination value of the face image through the utility function. The recognition method of the invention endows the computer with the ability to judge the gender of the object in the face image, and realizes automatic intelligent management.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face gender recognition method. Background technique [0002] With the continuous progress of society and the urgent requirements for fast and effective automatic identity verification, biometric technology has developed rapidly in recent decades. As an inherent attribute of human beings, with strong self-stability and individual differences, biometric features become the most ideal basis for automatic identity verification. The current biometric recognition technologies mainly include: fingerprint recognition, retinal recognition, iris recognition, gait recognition, vein recognition, face recognition, etc. Compared with other recognition methods, face recognition is easy to be accepted by users because of its direct, friendly and convenient features, and users have no psychological barriers to it, and thus has been widely researched and applied. In addition, the res...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/162
Inventor 凌远强
Owner 广州远信网络科技发展有限公司
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