Unlock instant, AI-driven research and patent intelligence for your innovation.

Synergic fingerprint identification method

A fingerprint identification and fingerprint technology, applied in the field of fingerprint identification technology, achieves the effects of strong algorithm robustness, reduced algorithm complexity and computational cost, and low complexity

Inactive Publication Date: 2006-03-22
HEFEI UNIV OF TECH
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to avoid the deficiencies in the above-mentioned prior art and provide a collaborative fingerprint recognition method with low computational complexity, high recognition speed and strong algorithm robustness

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
  • Synergic fingerprint identification method
  • Synergic fingerprint identification method
  • Synergic fingerprint identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The entire fingerprint image is used as the computing unit, and the hierarchical group retrieval method is adopted, that is, the collaborative fingerprint classifier is firstly used to classify five categories of fingerprints: arch, left-handed, right-handed, pointed arch and vortex, that is, the fast rough level Identification; then, on the result of collaborative fingerprint classification, matching is performed in a certain collaborative fingerprint matcher, that is, fine-level identification. The specific steps are:

[0048] a. Storage: Collect the original fingerprints of individuals with access rights, and store them in the fingerprint database according to five categories: arch, left-handed, right-handed, pointed arch and vortex;

[0049] b. Clustering: the original fingerprint in each category is used as a learning sample, and the K-means clustering method is used to generate a cluster center as the first-level category prototype vector;

[0050]c. Classificati...

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

A synergic fingerprint identification method characterized in that the overall finger-print image is used as the arithmetic element, a grading group retrieval mode is employed on the basis of synergic finger-print categorization for proceeding synergic finger-print matching, the method by the invention realizes low cost, low complexity, quick identification speed and strong robustness, it has shown high discrimination rate for finger-print sample of noise, microscale rotating, defilement and scraps.

Description

Technical field: [0001] The invention relates to biometric identification technology, especially fingerprint identification technology. Background technique: [0002] With the development of computer and network technology, the security of information is extremely important, and biometric identification technology, especially fingerprint identification technology, has attracted more and more attention in this field. [0003] In automatic fingerprint identification, fingerprint classification and matching are the key points. The traditional fingerprint classification algorithm is mainly based on the calculation of the direction field, while the traditional fingerprint matching algorithm generally relies on the center of the fingerprint image to identify based on the detailed features of the fingerprint. There are following problems in the existing fingerprint identification method based on this: [0004] 1. The computer has high complexity and slow recognition speed. Most ...

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 Patents(China)
IPC IPC(8): G06K9/00G06F17/30G06F17/16
Inventor 高隽董火明陈定国
Owner HEFEI UNIV OF TECH