Non-contact rapid hand multimodal information fusion identification method

A non-contact, fusion recognition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of slow recognition technology, low recognition rate, and poor effect, and achieve rich biological characteristics The effect of information, high data capacity, and small footprint of the device

Inactive Publication Date: 2011-05-25
SHENYANG POLYTECHNIC UNIV
View PDF3 Cites 39 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: The present invention provides a non-contact rapid human hand multi-modal information fusion recognition method, ...

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
  • Non-contact rapid hand multimodal information fusion identification method
  • Non-contact rapid hand multimodal information fusion identification method
  • Non-contact rapid hand multimodal information fusion identification method

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0052] Detailed ways: Below in conjunction with accompanying drawing, the present invention will be further described:

[0053] The present invention provides a non-contact rapid hand multi-modal information fusion recognition method, which is characterized in that: the specific steps of the method are as follows:

[0054] (1) Hand image collection;

[0055] Open the hand naturally and place it within a variable range in front of the camera; the image collection of the hand is carried out under the conditions of the hand being naturally open, non-contact, and non-fixed position.

[0056] (2) Positioning of key feature points of the hand shape;

[0057] Extract the fingertips and root points of the other four fingers except the thumb; The eight points on either side of the root of each finger.

[0058] (3) Hand shape feature vector extraction;

[0059] Take the midpoint of the line connecting the points on both sides of the finger and heel of each finger as the heel point...

Embodiment

[0092] The present invention adopts a 1.3 million-pixel MVC-II-3M camera, an 8mm C-mount industrial lens, and a single-color background plate to form a simple non-contact acquisition device. ). When taking an image, open your hand naturally so that it is parallel to the surface of the lens. When collecting images, put the palm up and flat in front of the background board, and the camera is placed vertically above the palm. According to the needs of the experiment, the following two experimental libraries were established.

[0093] (1) Adjust the focal length of the camera so that a clearer palm image appears on the lens, and record the distance between the lens and the background plate. This position is called the focal plane position. The right hand palm images of 30 people are collected, 10 for each person, and the image resolution is 640*480. 70 people were extracted from the hand database provided by the Hong Kong University of Science and Technology, and 10 images of e...

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 non-contact rapid hand multimodal information fusion identification method, which is characterized by comprising the following steps of: (1) acquiring hand images; (2) positioning key characteristic points of hand shapes; (3) extracting eigenvectors of the hand shapes; (4) positioning a palmprint ROI (region of interest) region and extracting eigenvectors; (5) setting a threshold value and carrying out primary matching of characteristics of the hand shapes to obtain alternative people; and (6) carrying out primary matching on palmprint images of the alternative peopleby a palmprint identification method to provide final judgment. The invention provides the personal identity identification method on the basis of multimodal biological characteristics of the hand shapes and palmprints, which is convenient and rapid to use, has no damage to a human body, cannot spread diseases, has high identification speed and can improve the identification rate and the stability of a system.

Description

technical field [0001] The invention belongs to the technical field of biological feature identification, and in particular relates to a non-contact hand shape, palm print and palm vein image acquisition and multi-modal identification technology, that is, a non-contact rapid hand multi-modal information fusion identification method. Background technique [0002] Safe and reliable personal identity authentication is an important link to avoid and suppress public security incidents. In today's society, huge amounts of cash in bank vaults are frequently stolen and stolen; security doors are difficult to stop thieves from visiting; The occurrence of incidents such as customs and network theft all reflect that keys, certificates, and passwords are used as personal identity codes, which are easy to be stolen, forged and embezzled, and are not safe. Therefore, public security urgently needs safe and reliable personal identity authentication. In addition, production and life require...

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 桑海峰黄静赵云李雅红
Owner SHENYANG POLYTECHNIC UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap