Matching identification method by extracting characters of vein from finger

A technology of finger vein features and recognition methods, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as the impact of recognition rate

Inactive Publication Date: 2007-12-26
HARBIN ENG UNIV
View PDF0 Cites 80 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Different from the products in Japan and South Korea, they use the red hot image of the back of the hand to extract the veins on the back of the hand. It is said that the FAR and FRR are both 0.0%, but the temperature and humidity of the environment have a great impact on the recognition rate. Impact

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
  • Matching identification method by extracting characters of vein from finger
  • Matching identification method by extracting characters of vein from finger
  • Matching identification method by extracting characters of vein from finger

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0081] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0082] The method of finger vein feature extraction and matching recognition, collects images through the vein acquisition device, and then performs grayscale conversion on the collected images, positioning of the finger area, filtering, image segmentation, denoising, cutting of the finger area and finger width After the standardization and other preprocessing steps, the features are extracted by the method of wavelet moment fusion PCA and LDA transformation, and finally the recognition is completed. In conjunction with Fig. 1, the method of the present invention contains the following steps:

[0083] (1) Acquisition of finger vein images

[0084] The basic principle of the selected finger vein collection device is to use near-infrared rays to irradiate the finger, and the image sensor senses the light transmitted from the finger. The key point is that the hemog...

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

An identifying method based on pick-up and match of finger vein includes collecting finger vein image by image collection device, carrying out pretreatment on collected vein image, dividing vein image to be image block in specific size, applying wavelet decomposing algorithm to carry out wavelet decomposition and wavelet moment pick-up on sub-image, picking up characteristic by carrying out PCA and LDA transform and carrying out match and identification by utilizing fuzzy threshold means.

Description

(1) Technical field [0001] The invention relates to a biological feature identification technology, in particular to a finger vein feature identification technology. (2) Background technology [0002] With the advent of the information age, the security and confidentiality of information has aroused people's general attention. The rich physiological characteristics of the human body make biometric identification technology an important means in the field of identity authentication. [0003] Biometric Identification Technology (Biometric Identification Technology) refers to a technology that uses human biometrics for identity authentication. Unlike traditional methods, biometric methods are based on something that is inherent in our bodies, our individual characteristics. Virtually any physical characteristic can be used for identification. Biometrics are divided into two categories based on physical characteristics and behavioral characteristics. Physical characteristics...

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): G06K9/00G06K9/80
Inventor 王科俊冯伟兴付斌袁智熊新炎
Owner HARBIN ENG 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