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

A Collaborative Gender Recognition Method Fused with Face and Fingerprint Visual Information

A gender recognition and visual information technology, applied in the field of gender recognition, can solve the problems of difficult fingerprint extraction and lack of discrimination ability, and achieve the effect of good robustness and discrimination ability.

Inactive Publication Date: 2011-12-07
SHANGHAI JIAO TONG UNIV
View PDF5 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with facial features, these features of fingerprints are usually more difficult to extract and lack discriminative ability

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 Collaborative Gender Recognition Method Fused with Face and Fingerprint Visual Information
  • A Collaborative Gender Recognition Method Fused with Face and Fingerprint Visual Information
  • A Collaborative Gender Recognition Method Fused with Face and Fingerprint Visual Information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. The following examples are implemented on the premise of the technical solutions of the present invention, and detailed implementation methods and processes are given, but the protection scope of the present invention is not limited to the following examples.

[0029] In one embodiment of the present invention, the flowchart of the gender identification method provided by the present invention is as follows figure 1 As shown, the specific implementation of this embodiment includes the following steps:

[0030] Step A: Image feature representation based on bag-of-words model:

[0031] Suppose the image is , the image block set is , then extracting the local binary pattern (Local Binary Pattern, LBP) for each image block can obtain the local features ,in . image The global features of can be expressed as ,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 relates to a face and fingerprint-based gender recognition method using a machine vision and pattern recognition technology, and the method comprises the following specific steps: (1) representing image characteristics based on a bag-of-words model, in which a new method for supervising vision word creation is provided to eliminate redundant characteristic number of dimensions and enhance the dimensions helpful for gender classification; (2) putting forward an improved latent Dirichlet allocation (LDA) model to maximize classification intervals, thereby enhancing the recognitioncapability of the entire model; and (3) integrating face and fingerprint visual decisions, training the model separately, and obtaining the final decision through minimizing decision-making risk. Themethod provided by the invention has good robustness and discrimination capacity, and is verified in a large-sized database comprising faces and fingerprints of same persons. Results show that the method can well complete gender recognition, and can be used in all aspects of gender recognition.

Description

technical field [0001] The invention relates to a gender identification method, in particular to a collaborative gender identification method that fuses human face and fingerprint visual information. Background technique [0002] In recent years, gender recognition has gradually attracted the attention of more and more researchers in the fields of computer vision and pattern recognition. Physiologists and suspect identification experts mainly use human physiological characteristics for gender identification, and the visual information of human faces is their most commonly used physiological characteristics. At present, many existing methods mainly use face information for gender recognition. Usually, these methods are based on global features of faces (such as original pixels) and discriminative classification algorithms (such as SVM, Boosting). The visual information of fingerprints is also widely used in gender identification. Compared with human faces, due to the specia...

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 Applications(China)
IPC IPC(8): A61B10/00
Inventor 刘欢喜吴哲朱俊李雄赵杰
Owner SHANGHAI JIAO TONG UNIV
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