Full angle rapid fingerprint identification method

A fingerprint recognition, all-angle technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of unsatisfactory processing effect

Inactive Publication Date: 2008-01-30
NANJING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the existing fingerprint recognition algorithm can suppress the influence of image translation very well, the processing effect is not ideal when there is fingerprint rotation between two images.

Method used

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  • Full angle rapid fingerprint identification method
  • Full angle rapid fingerprint identification method
  • Full angle rapid fingerprint identification method

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Experimental program
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Effect test

Embodiment Construction

[0053] Step 1. Image preprocessing: Binarize and refine the original grayscale image to prepare for further work. The image is divided into non-overlapping 8*8 pixel blocks, and the local gray variance method is used to judge the attribute of each block: whether it belongs to the fingerprint image area or the background area. In the extracted fingerprint area, the fingerprint direction of each 8*8 pixel block is calculated, and the binarization of the fingerprint is realized by using the direction filtering method. The binary image is thinned by the improved hybrid OPTA algorithm, and the fingerprint ridge is only 1 pixel wide.

[0054] Step 2, fingerprint feature extraction: the feature information of the fingerprint image extracted by the present invention mainly includes: center point, end point, fork point; simultaneously determine reference point and reference direction. Use the Poincare method to detect and count the number of fingerprint center points. When the number...

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Abstract

The invention discloses an all-angle and rapid fingerprint recognition method that makes recognition according to fingerprint details: a. image preprocessing: using local gray level variance method to segment out the area of the fingerprint image; using a directional filtering method to realize binaryzation of fingers in the area of the fingerprint image; using an improved blend OPTA algorithm to make refining treatment to the binary image; b. fingerprint feature extraction: using Poincare method to test and make statistic of the number of core points of fingerprint to make sure of the reference point of fingerprint and the reference direction of fingerprint, and to extract the information of fingerprint feature point in the thinned fingerprint image; c. feature matching: taking the reference point as the point of origin, and taking the reference direction as the principal axis; using a polar coordinate to signify the fingerprint feature point axis, which is taken as characteristic data of template fingerprints; matching the data with the characteristic data of master plate fingerprints to judge whether to anastomose. The novel method can effectively restrain the influence brought from the parallel movement and rotation of the fingerprint image, and can rapidly make out judgement, thereby being suitable for a plurality of running platforms such as large-scale computers, DPS, embedded systems, satisfying the requirements on various personal identification occasions, and having broad market prospect and extremely high economic value.

Description

technical field [0001] The invention relates to a fingerprint image matching method, which is used for identity verification, that is, to identify the fingerprint image by using digital image processing technology and a certain judgment system, and judge whether the fingerprint to be recognized matches the template fingerprint. Background technique [0002] Fingerprint identification technology has a wide range of application value in modern society, it is developed based on the statistical results of the relative stability and uniqueness of human fingerprint features. In practical applications, according to different requirements, the fingerprint characteristics of the human body can be divided into permanent characteristics, non-permanent characteristics and vital characteristics. [0003] Fingerprint matching is to use the permanent characteristics of fingerprints to judge fingerprints. Permanent features include detailed features (center point, triangle point, end point...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/54
Inventor 袁杰曹家勇臧炅
Owner NANJING UNIV
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