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

Combined recognising method for man face and ear characteristics

A feature combination and recognition method technology, applied in the field of personal identification, can solve the problems of inaccuracy and stability, low ear recognition rate, affecting the shape and structure measurement results of the auricle, and achieve the effect of improved recognition

Inactive Publication Date: 2005-08-24
SHENYANG POLYTECHNIC UNIV
View PDF0 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this feature has not been utilized in the current research on human ear recognition methods.
[0011] (2) In the measurement of auricle shape and structure, the determination of reference coordinates is very important. The current method of determining reference coordinates is not accurate and stable enough, which directly affects the measurement results of auricle shape and structure, resulting in a low ear recognition rate
However, data retrieval shows that there is no research report in this area

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
  • Combined recognising method for man face and ear characteristics
  • Combined recognising method for man face and ear characteristics
  • Combined recognising method for man face and ear characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The human ear recognition process proposed by the method of the present invention is as follows: figure 1 As shown, the specific implementation steps are as follows:

[0039]Step 1: Get the front and side images of the face

[0040] The specific operation is to first set up the camera

[0041] The positional relationship between the two cameras and the person is as attached figure 2 shown. Camera 1 takes a frontal image of a human face, and camera 2 takes a profile image of a human face. The spatial positional relationship between the two cameras and the person can be realized in a fixed manner or in a variable manner. In order to facilitate image processing, the shooting distance between the camera and the person should be kept constant, so that the size of the head remains relatively unchanged in each captured image.

[0042] For the fixing method, the camera 1 is perpendicular to the front of the face, and the camera 2 forms a certain angle with the face, prefe...

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 is the recognition method for the character of man's face and ears, including the technique processes: get the images of the front and the side face, pick up the parameters of face structure character and the auricle size character through the front face image, and the parameters of the auricle shape and structure characters through the side face image, and combine the character attestation. This invention has the strong points of convenient method of getting image, the low cost of equipment, the stable character and the accurate attestation.

Description

technical field [0001] The invention belongs to the personal identity identification technology based on human biological feature identification, in particular to the measurement and combined identification of ear features and face features. Background technique [0002] Identity verification is a basic problem that everyone encounters on a regular basis. Identity verification is mainly used in banking, customs, public security, e-commerce, e-government, network security and other occasions that need to verify personal identity. [0003] Traditional identity verification mainly has the following two methods: (1) through various certificates, such as ID cards, work permits, credit cards, savings cards, phone cards, etc.; (2) through personal identification numbers and passwords. Its main disadvantage is that it is easy to be stolen, and the former is easy to lose, and the latter is easy to forget, which are not safe enough. [0004] Identity confirmation based on human biom...

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
Inventor 苑玮琦
Owner SHENYANG POLYTECHNIC 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