Identity authentication system integrating fingerprint and human face living body detection

A living body detection and identity authentication technology, which is applied in the fields of fingerprint recognition technology and face recognition, can solve problems such as fingerprints being easily stolen and finger surface lines being easily damaged, and achieve high use value, high reliability, and strong security. Effect

Pending Publication Date: 2020-08-14
HEILONGJIANG UNIV
View PDF2 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although fingerprint identification has the above advantages, it is found in its practical application that the lines o

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
  • Identity authentication system integrating fingerprint and human face living body detection
  • Identity authentication system integrating fingerprint and human face living body detection
  • Identity authentication system integrating fingerprint and human face living body detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The present invention will be described in more detail below with reference to the accompanying drawings.

[0020] 1 Fingerprint identification module

[0021] Firstly, the read fingerprint image is divided, thinned, feature extracted and matched, and on this basis, the fingerprint recognition result is obtained. The specific method is:

[0022] 1.1 Fingerprint Image Segmentation

[0023] The purpose of fingerprint image segmentation is to remove background areas and unrecoverable areas, retain clear areas and recoverable areas, so that subsequent processing can be concentrated on effective areas. Most of the traditional fingerprint image segmentation methods are based on the gray level of the image, which is greatly affected by the lighting conditions. Therefore, the present invention uses a gradient field-based method to segment the fingerprint image. Through the gradient field, the fingerprint image foreground part and background part The obvious difference to com...

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 identity authentication system integrating fingerprint and human face living body detection comprises a fingerprint recognition module, a human face recognition module, a human face living body verification module and an identity authentication module; the fingerprint recognition module firstly performs segmentation, refinement, feature extraction and matching operation on a read fingerprint image, and a fingerprint recognition result is obtained on the basis; the face recognition module performs mask face detection, feature extraction and recognition on the read face image; the human faceliving body verification module performs blink detection, head shaking detection and mouth opening and closing detection; and the identity authentication module fuses results of the modules to give afinal identity authentication result. According to the identity authentication system, fingerprint features and face features are effectively combined, face living body detection is assisted, and theidentity authentication system has the advantages of being good in reliability, high in use value and the like and can be applied to the fields of access control systems, security protection, electronic payment and the like.

Description

technical field [0001] The invention belongs to the field of pattern recognition technology, in particular to fingerprint recognition technology and face recognition technology. Background technique [0002] Fingerprint features refer to the lines distributed on the surface of the fingertips with a certain degree of concavo-convexity. The fingerprint features of different individuals are different in terms of bifurcation points, endpoints, geometric shapes and other physiological features, and the fingerprint features do not change with the degree of health and age. It is an ideal authentication technology and has been widely used in many occasions. Although fingerprint identification has the above-mentioned advantages, it is found in its practical application that the lines on the surface of the finger are easily damaged, and the fingerprint also has the disadvantage of being easily stolen. [0003] Face recognition has been a research hotspot in recent years. It has been ...

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): G06K9/00G06K9/62G06F21/32
CPCG06F21/32G06V40/1347G06V40/13G06V40/1365G06V40/161G06V40/168G06V40/45G06F18/25
Inventor 马慧
Owner HEILONGJIANG 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