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Fingerprint feature construction method based on minutiae

A construction method and fingerprint feature technology are applied in the field of minutiae feature extraction algorithm based on the number of ridges, which can solve the problems of the complex RCS coordinate system, the cost of the ridge feature extraction algorithm, and the long time, so as to improve the accuracy of calculation results, The effect of improving operational efficiency and improving reliability

Inactive Publication Date: 2015-02-18
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

However, the disadvantages of this method are as follows: the first is that the RCS coordinate system is very complicated because it has more than one horizontal axis, and the number of horizontal axes is determined by the number of effective detail points in the RCS coordinate system; the second is that the ridge line feature extraction algorithm costs more much time

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  • Fingerprint feature construction method based on minutiae
  • Fingerprint feature construction method based on minutiae
  • Fingerprint feature construction method based on minutiae

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Embodiment Construction

[0025] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0026] Step 1. Take the ith minutiae point I of the fingerprint T i , and store the coordinate value of this detail point under the global coordinate system into the structure Img_thintemp, specifically expressed as Img_thintemp(y, x).minutiae1x, Img_thintemp(y, x).minutiae1y, Img_thintemp(y, x).minutiae2x, Img_thintemp(y, x).minutiae2y, traverse the detail point set I, and repeat the above process.

[0027] Step 2. Randomly select a detail point from I and record it as O(x 0 ,y 0 , θ), take it as the origin of the coordinate system, such as figure 1 shown. According to the RCS coordinate syst...

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Abstract

The invention relates to a fingerprint feature construction method based on minutiae, and belongs to the technical field of the automatic fingerprint recognition. The method is used for obtaining minutia pairs in the fingerprint matching process and includes the first step of preprocessing a fingerprint image, the second step of establishing a right-angle coordinate system called RCS and determining the directions of the coordinate system, the third step of defining and finding the effectively minutiae belonging to the RCS coordinate system, and the fourth step of calculating the number of regression lines related to the effective minutiae and conducting inspection. The method has the advantages that by means of the features, the features of the minutiae and the regression line information related to the minutiae are combined, and the reliability of the extracted features is improved; the directions of the coordinate system are determined, and the anti-rotation performance of the algorithm can be effectively improved; the method for calculating the number of the regression lines is described in details and achieved, and the inspection shows that the calculation result is quite accurate; only the features of the minutiae belonging to the RCS coordinate system are extracted, the number of the extracted features of the minutiae is reduced, and the running efficiency of the algorithm is improved.

Description

technical field [0001] The invention relates to the technical field of automatic fingerprint recognition, in particular to a minutiae feature extraction algorithm based on the number of ridges. Background technique [0002] In automatic identification systems, fingerprints are the most commonly used biometric patterns because of their reliable expressiveness, practicality, and low cost. At present, a variety of methods have been proposed to solve the deformation problem of fingerprint images to improve the matching rate. One of them is to combine the ridge feature with the traditional minutiae feature to resist nonlinear deformation and improve the fingerprint matching rate. We know that ridge features are invariant to geometric transformations such as rotation and distortion, and ridges also concisely represent the relationship between detail points. So this method establishes a Cartesian coordinate system based on ridges, called RCS coordinate system, and extracts ridge f...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/1371
Inventor 梅园丁梦茹
Owner NANJING UNIV OF INFORMATION SCI & TECH
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