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

Fingerprint authenticity discrimination method and fingerprint identification method based on sweat gland

A fingerprint identification and fingerprint technology, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of being unable to effectively identify counterfeit fingerprints and achieve high accuracy

Active Publication Date: 2018-01-09
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
View PDF6 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Based on the characteristics of densely distributed sweat gland structure, small size and spiral structure, the present invention uses the gradient information and structural information of the fingerprint image to accurately locate and segment the sweat gland structure of the fingerprint, and uses the extracted sweat gland structure to distinguish the authenticity of the fingerprint. Then a sweat gland-based fingerprint authenticity identification method is proposed to solve the problem that the existing fingerprint identification process cannot effectively identify counterfeit fingerprints

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
  • Fingerprint authenticity discrimination method and fingerprint identification method based on sweat gland
  • Fingerprint authenticity discrimination method and fingerprint identification method based on sweat gland

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0028] The specific embodiment of the present invention provides a method for identifying the authenticity of fingerprints based on sweat glands. This method uses a brand-new sweat gland extraction algorithm to extract sweat glands from the collected fingerprints, and judges the authenticity of fingerprints based on whether sweat glands can be extracted. It can distinguish the fake fingerprints more accurately. refer to figure 1 , the fingerprint authentication method includes the following steps S1 to S6:

[0029] S1. Obtain a three-dimensional fingerprint image of the current fingerprint;

[0030] S2. For the three-dimensional fingerprint image, use the image gradient information to detect the outer fingerprint, so as to extract the outer fingerprint layer;

[0031] S3. Based on the outer fingerprint layer, calculate the gray mean value of...

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 fingerprint authenticity discrimination method based on the sweat gland and a fingerprint identification method. The fingerprint authenticity discrimination method comprisesobtaining a three-dimensional fingerprint image and extracting an external fingerprint; extracting an internal fingerprint according to the external fingerprint; selecting a sweat gland area accordingto the internal fingerprint and the external fingerprint; carrying out tubular filtering on the sweat gland area to obtain a tubular structure, carrying out binarization processing on the tubular structure by means of a preset sweat gland threshold, removing non sweat gland tubular structures, and obtaining a sweat gland image; correcting the sweat gland image according to the direction information and the helical structure information of the sweat gland; and judging whether the current fingerprint is an artificial fingerprint from the sweat gland image. The fingerprint identification methodbased on the sweat gland comprises that for a fingerprint to be identified, after the sweat gland image is obtained according to the above sweat gland extraction steps, the sweat gland in the sweat gland image is compared with an existing sweat gland in the system, comparison of the internal fingerprint and the external fingerprint is combined at the same time, and fingerprint identification is carried out according to the comparison result.

Description

technical field [0001] The invention relates to the field of human biological feature identification, in particular to a sweat gland-based fingerprint authentication method and a sweat gland-based fingerprint identification method. Background technique [0002] Fingerprint recognition plays an important role in biometric-based identification systems. Most of the existing fingerprint collection is a contact-type two-dimensional imaging technology, among which optical fingerprint sensors are mostly used to image surface fingerprints based on total internal reflection and through different reflection effects of light. The imaging effect of surface fingerprint collection has high requirements on fingerprint conditions. When there are moisture, wrinkles or scars on the fingerprint surface, the imaging quality will decrease, resulting in distortion of fingerprint imaging and affecting the success rate of fingerprint identification. [0003] Combined with the same 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): G06K9/00
Inventor 郭振华孙爽周杰
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA 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