Method for matching finger print image based on finger print structure feature and veins analysis

A technology of fingerprint image and matching method, which is applied in the field of image processing and can solve problems such as strong anti-noise

Active Publication Date: 2009-04-15
朱信忠
View PDF0 Cites 56 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] In order to overcome the shortcomings of the existing fingerprint image matching methods that cannot support fingerprint rotation and offset well, and are also sensitive to nonlinear deformation, the present invention provides a method that utilizes the structural information of fingerprint images and adopts point pattern matching algorithms to accurately The fingerprint imag

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
  • Method for matching finger print image based on finger print structure feature and veins analysis
  • Method for matching finger print image based on finger print structure feature and veins analysis
  • Method for matching finger print image based on finger print structure feature and veins analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0101] The present invention will be further described below in conjunction with accompanying drawing:

[0102] refer to Figure 1-Figure 21 , a fingerprint image matching method based on fingerprint structural features and texture analysis, the method comprises the following steps:

[0103] 1) After preprocessing and feature extraction, the original fingerprint image is converted into a data linked list consisting of a limited number of feature points, and the feature points and their surrounding adjacent points are processed to generate matching feature vectors to represent the relationship between each feature point. the structural relationship between them.

[0104] 2), define two point sets A and B to represent the feature vector sets of the input fingerprint image and the template fingerprint image respectively, wherein the point set A represents the M minutiae points extracted from the input fingerprint image, and the point set B represents the feature vector set from ...

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 image matching method based on fingerprint structural features and texture analysis. The method comprises the following steps: (1) processing the feature minutiae and the adjacent minutiae of a fingerprint image to generate structural feature vectors; (2) matching the structural feature vectors, considering the minutiae matching is successful if the vectors fall in a bounding box, representing and the fingerprint matching degree with the number of the successfully matched minutiae; (3) performing Gabor filtering on the incomplete fingerprint containing proper amount of information or the fingerprint image without central part, and dividing the fingerprint into several regions by circular grids to extract the texture features respectively; (4) representing the matching degree with the feature difference among the fingerprint images by taking the gray-scale standard deviation of each region as a feature code, and ; and (5) finding out the most matched fingerprint image by the structural features and the texture features of a BP neural network. The method is independent of translation and rotation of the fingerprint, has strong anti-noise performance, and can solve the problem of non-linear deformation in a certain range.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a fingerprint image matching method based on fingerprint structural features and texture analysis. Background technique [0002] Fingerprint identification is a very reliable identification method, and it has received more and more attention in related fields in recent years. Automatic fingerprint identification system is widely used, and it plays an important role in court forensics and daily life, such as network security, criminal identification, access control system and identity authentication of ATM. Therefore, research on fingerprint recognition technology has high theoretical and practical significance. [0003] The quality of the fingerprint image matching algorithm directly affects the performance of the automatic fingerprint recognition system. There are two traditional feature matching methods: one is based on point pattern matching, that is, the detailed fe...

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): G06K9/00G06K9/36G06K9/46G06K9/52
Inventor 朱信忠赵建民徐慧英胡承懿
Owner 朱信忠
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