Face image gender detection method and system

A face image and detection method technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problem of low gender recognition accuracy, achieve the effect of improving recognition performance and recognition accuracy

Inactive Publication Date: 2017-03-01
LEADCORE TECH +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a face image gender detectio

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
  • Face image gender detection method and system
  • Face image gender detection method and system
  • Face image gender detection method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The specific implementation manner of the present invention will be described in more detail below with reference to schematic diagrams. Advantages and features of the present invention will be apparent from the following description and claims. It should be noted that all the drawings are in a very simplified form and use imprecise scales, and are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention.

[0042] The embodiment of the present invention provides a method for detecting the gender of a human face image, specifically, as figure 1 shown, including the following steps:

[0043] S1: Obtain an original face image.

[0044]Wherein, the original human face image is a human face image to be used to distinguish gender, and the original human face image is generally a color image, which contains rich information. If the color image is directly processed, the processing speed is relatively fast. Slow, and in ...

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 provides a face image gender detection method and system wherein the face image gender detection system comprises an image obtaining module, a controlling and processing module and a saving module. The method comprises the following steps: extracting the Gabor wavelet characteristic vector of an original face image and the Gabor wavelet characteristic vectors of all the face images in a face image library through the use of the Gabor algorithm and the Memetic algorithm; establishing a characteristic vector set; finding from the characteristic vector set the characteristic vector that is closest to the Gabor wavelet characteristic vector of the original face image; and using the gender of the face image corresponding to the closet characteristic vector as the gender of the original face image. The method and system do not require dimensionality reduction through the means of PCA, and can obtain identification data with better discrimination ability in a short processing period. Therefore, the identification performance is increased and so is the identification accuracy.

Description

technical field [0001] The invention relates to the fields of computer image processing and pattern recognition, in particular to a method and system for detecting the gender of a human face image. 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...

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): G06K9/00
CPCG06V40/161G06V40/168
Inventor 方圆圆
Owner LEADCORE TECH
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