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Fingerprint identification method based on rotation angle

A technology of fingerprint recognition and rotation angle, applied in the field of biometrics, can solve problems such as algorithm robustness is not very strong, image correction error, etc.

Inactive Publication Date: 2009-11-18
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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AI Technical Summary

Problems solved by technology

Due to the large error in image correction, the robustness of this type of algorithm is not very strong

Method used

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  • Fingerprint identification method based on rotation angle
  • Fingerprint identification method based on rotation angle
  • Fingerprint identification method based on rotation angle

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Experimental program
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Embodiment Construction

[0015] Below in conjunction with an example, the fingerprint matching method of the present invention is described in further detail, and its main steps are as follows:

[0016] 1. Store the template T separately p and the template T to be recognized q All the feature points are divided into two parts according to the endpoint and the bifurcation point, calculate the number of ridges spanned by the line connecting all the feature points and the center point in the two templates, and then divide the endpoint and the bifurcation point according to the line spanning the feature point and the center point respectively. The number of ridges is sorted from small to large. The specific steps of the method are as follows:

[0017] 1.1 Determine the coordinates of the center point of the two images, and establish a Cartesian coordinate system with the center point coordinates as the origin.

[0018] 1.2 Calculate the number of ridges spanned by the line connecting the feature point ...

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Abstract

The invention relates to a fingerprint identification method based on a rotation angle so as to solve the problems that the existing point matching fingerprint identification method is easy to cause misjudgment, is greatly affected by pseudo feature points and has poorer anti-noise capability and the line matching fingerprint identification method has greater computation amount and slow judgment speed. Feature points are divided into two parts according to end points and bifurcation points, feature angles of all the feature points are calculated, wherein the feature angles refer to included angles between connection lines of the feature points and a central point and the forward direction of an X-axis, the differences between the feature angles of all the feature points in a storage template and the feature angles of the feature points in a corresponding annular region of a template to be identified are calculated, the statistics of the numbers of feature points with the same feature angle difference are respectively carried out, and the judgment on whether two images are matched or not is carried out according to the maximum value of the numbers of feature points with the same difference.

Description

technical field [0001] The invention belongs to the field of biometric identification, in particular to a fingerprint identification method, in particular to a fingerprint identification method based on a rotation angle. Background technique [0002] Fingerprint recognition is a biometric technology that uses the uniqueness and stability of fingerprint images to compare two fingerprint images to determine whether they come from the same finger. The so-called uniqueness means that the fingerprints of different people are different, and the fingerprint images of different fingers of the same person are also different; the so-called stability means that a person's fingerprint basically does not change greatly. [0003] At present, the commonly used fingerprint identification method is to simply use the feature points of the fingerprint image for matching, and judge whether the two images are from the same finger according to the number of pairs of minutiae feature points that m...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/64
Inventor 王明江曹麟田太庆闫志峰
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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