Three-dimensional palm print identification method based on partitioning statistical characteristic and combined expression

A technology of palmprint recognition and statistical features, applied in the field of palmprint recognition, can solve problems such as reduced efficiency and small alignment errors

Active Publication Date: 2014-11-26
TONGJI UNIV
View PDF4 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Aiming at the problem that in the past 3D palmprint matching process, the palmprint to be verified and the sample data set need to be matched one by one, and the efficiency is greatly reduced with the increase of the capacity of the sample dat...

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
  • Three-dimensional palm print identification method based on partitioning statistical characteristic and combined expression
  • Three-dimensional palm print identification method based on partitioning statistical characteristic and combined expression
  • Three-dimensional palm print identification method based on partitioning statistical characteristic and combined expression

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The present invention will be further described below in conjunction with the embodiments shown in the accompanying drawings.

[0043] Aiming at the problem that in the past 3D palmprint matching process, the palmprint to be verified and the sample data set need to be matched one by one, and the efficiency is greatly reduced with the increase of the capacity of the sample data set, the present invention adopts a framework of joint representation to test the 3D palmprint Carry out one-to-many recognition; Aiming at the tiny alignment error that exists after three-dimensional palmprint matching, the present invention adopts the description operator based on block statistical features to set up a kind of accurate and fast three-dimensional palmprint recognition method, and its specific workflow is as follows figure 1 Shown:

[0044] (1) Determine the three-dimensional data characteristics of the palmprint to be measured:

[0045] (1) Definition It is the sampling image ...

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 discloses a three-dimensional palm print identification method based on a partitioning statistical characteristic and joint expression. A sample image of a three-dimensional palm print, is equally divided into a plurality of subareas, for each subarea, the surface type of the palm print is calculated firstly, then the surface types of palm prints in each subarea is counted by use of a histogram, finally, surface type histograms of each subarea are spliced to be taken as a characteristic description operator of a palm depth image, and classification is carried out by use of a joint expression frame, such that the identification efficiency and the accuracy are improved, the method can be applied to occasion with strict requirements for identity identification, and the problem of aligning deviations among multiple three-dimensional palm print samples is effectively solved.

Description

technical field [0001] The invention belongs to the field of pattern recognition, and relates to a method for verifying identity information, in particular to a palmprint recognition method. Background technique [0002] In recent years, the industry and academia have continuously been committed to improving the verification effect of identity information to meet the stringent requirements for identifying people in many different fields such as access control, aviation security, and electronic banking. Methods based on biometric identification are attracting more and more attention, and palmprint recognition is one of the most representative biometric identification methods. The palmprint recognition method has many advantages such as high discrimination, strong robustness, and user-friendliness. Palmprint refers to the skin texture on the surface of the palm, which mainly includes two types of features: friction ridges and flexion lines. These two characteristics are unch...

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 张林李力达沈莹李宏宇
Owner TONGJI 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