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

Embedded system fingerprint identification and matching method

An embedded system and matching method technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of optical fingerprint sensor without living body recognition function, poor security, and inability to recognize

Inactive Publication Date: 2005-09-07
SHANGHAI JIAO TONG UNIV
View PDF0 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its disadvantages are: the optical fingerprint sensor has no living body recognition function, the security is extremely poor, and the above identification methods are difficult to transplant into embedded systems
In this method, the image enhancement method based on Gabor filter is also used. Since this method needs to find out the center point of the fingerprint, it cannot recognize the fingerprint without the center point.

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
  • Embedded system fingerprint identification and matching method
  • Embedded system fingerprint identification and matching method
  • Embedded system fingerprint identification and matching method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0047] In this embodiment, FPC1010 capacitive fingerprint sensor and Texas Instruments TMS320VC5509 are used as MCU, and C language and assembly mixed programming are adopted under ccs2.2 compiler.

[0048] 1. Read the fingerprint image from the sensor and store it in the one-dimensional array pixel[30400]. Then use the method in this paper to calculate the direction diagram, figure 1 It is an original image of a dry finger, and there are many breakpoints. From the enlarged area, it can be seen that it is difficult to calculate the corresponding direction of the point. However, the direction of the region as a whole is obvious. figure 2 is calculated using the area direction calculation method figure 1 The corresponding direction map, different gray levels correspond to different directions. The direction must be stored in another array or[30400] for later access.

[0049] P 1 3

P 1 2

P 1 1

P 2 3

P 2 2 ...

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

This invention relates to an embedded system fingerprint identifying and matching method belonging to image processing and mode identifying technology realm, comprising the following steps: first, basing on area line character calculating direction graph, then making neighborhood differences statistic to realize fingerprint line enhancement; second, thinning fingerprint by adopting ossification method; third, extracting fingerprint character points by structure character; last, matching the character points. The invention can process image of fingerprint with multiple breakpoints, enhance restoring ability to breakpoint and scar, improve identifying ability to character point with similar structure.

Description

technical field [0001] The invention relates to a fingerprint recognition and matching method, in particular to an embedded system fingerprint recognition and matching method, belonging to the technical field of image processing and pattern recognition. Background technique [0002] With the rapid development of semiconductor technology, microprocessor technology and fingerprint sensor technology have been greatly developed in recent years, especially the new capacitive fingerprint sensor, which can not only resist static electricity greater than 12V, but also has the function of living body recognition, making fingerprint recognition technology gradually Civilization. Among them, the embedded system as a hardware platform for fingerprint identification and matching has become a new technology development direction because of its low cost, small size, strong reliability, and many advantages such as offline portability. The recognition and matching of fingerprints has been o...

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): G06K9/00
Inventor 贺迅张易知
Owner SHANGHAI JIAO TONG 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