Fingerprint recognition method based on multiple reference nodes

A fingerprint recognition and reference node technology, applied in character and pattern recognition, acquisition/organization of fingerprints/palmprints, instruments, etc., can solve problems such as errors in the direction and position of minutiae points, reduce interference, eliminate errors, and improve fingerprint recognition. rate effect

Active Publication Date: 2017-06-20
HANGZHOU SYNOCHIP DATA SECURITY TECH CO LTD
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AI Technical Summary

Problems solved by technology

Since the fingerprint template should not be too large, the number of sampling points on several concentric circles with the minutiae as the center should not be too many, how to reflect the characteristics of the regional texture with as few sampling points as possible, the existing methods have not proposed specific measures in this regard
Affected by the quality of the fingerprint image, there is an error in the direction position of the extracted minutiae

Method used

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  • Fingerprint recognition method based on multiple reference nodes
  • Fingerprint recognition method based on multiple reference nodes
  • Fingerprint recognition method based on multiple reference nodes

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Embodiment Construction

[0022] The present invention will be further described below in conjunction with specific examples, but the present invention is not limited to these specific implementations. Those skilled in the art will realize that the present invention covers all alternatives, modifications and equivalents as may be included within the scope of the claims.

[0023] refer to figure 1 , Figure 4 , a method for fingerprinting based on multiple reference nodes, comprising:

[0024] (1) To refine the fingerprint texture, extract multiple edge detail points A and multiple detail points B in the central area of ​​the image, and arrange the sampling line segments centered on the edge detail point A to obtain discrete texture information. The layout steps are as follows:

[0025] 1) Calculate the texture direction θ at the edge detail point A;

[0026] 2) Take the edge detail point A as the starting point, and the sampling direction is α, where α=θ+45, the first sampling line segment Aa1 is ob...

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Abstract

The invention discloses a fingerprint recognition method based on multiple reference nodes, and the method comprises the steps: carrying out the refining of a fingerprint pattern, extracting a plurality of detail points A at the edge of a fingerprint image and a plurality of detail points B in a central region, taking the detail points A as the center to carry out the arrangement of a sampling line, and obtaining discrete pattern information; storing the detail points B in the central region of the image, the detail points A at the edge and the collected discrete pattern information in a multi-reference-node fingerprint template; and carrying out the matching recognition through the collected detail points B in the central region of the image, the collected detail points A at the edge and the corresponding discrete pattern information during fingerprint matching. The arrangement of the sampling lines is suitable for a condition that the superposing area is smaller during fingerprint comparison, and enables the interference caused by an error to be reduced. The method reduces the quantity of pattern information, and prevents the template from being excessively increased. The stored pattern information is the relative value of the detail points at the edge, and avoids the unnecessary calculation in matching.

Description

technical field [0001] The invention belongs to the field of fingerprint identification and relates to a fingerprint identification method based on multiple reference nodes. Background technique [0002] When the acquisition area of ​​the sensor is small, there will be only a small part of the overlapping of different prints of a finger, and the corresponding matching detail feature points will be less, or some fingers have fewer detail feature points. When only traditional In the detailed feature matching method, the error becomes larger and the comparison pass rate becomes lower. [0003] At present, the existing fingerprint matching algorithm also uses fingerprint texture information. Some sampling points are extracted on several concentric circles with the minutiae as the center, and the information of the sampling points and the distance and angle between these points are obtained. Combined into New node structure features for fingerprint matching. Since the fingerpri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/1365
Inventor 官慧仙
Owner HANGZHOU SYNOCHIP DATA SECURITY TECH CO LTD
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