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Deformation finger print matching method based on curve coordinate system and transferred reference node

A technology of reference nodes and matching methods, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as high node error mismatch rate, distorted fingerprint pattern spacing change and curvature change sensitivity.

Inactive Publication Date: 2009-04-15
ZHEJIANG NORMAL UNIVERSITY
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Problems solved by technology

[0005] The shortcomings of the existing fingerprint matching methods are: (1), only suitable for slightly distorted fingerprint identification, and sensitive to the variation of the line spacing and curvature of the distorted fingerprint; (2), when matching the distorted fingerprint image, Nodes have a high false mismatch rate

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  • Deformation finger print matching method based on curve coordinate system and transferred reference node
  • Deformation finger print matching method based on curve coordinate system and transferred reference node
  • Deformation finger print matching method based on curve coordinate system and transferred reference node

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Embodiment Construction

[0070] The present invention will be further described below with reference to the accompanying drawings.

[0071] refer to Figure 1-Figure 8 , a deformation fingerprint matching method based on a curved coordinate system and a migration reference node, the matching method includes the following steps:

[0072] 1) Suppose I(m×n) is a fingerprint image, O(i,j)∈[0,π) is the local texture direction at pixel (i,j), with M(i,j)= 0|1 identifies the foreground and background of I, if M(i, j)=1, it belongs to the foreground, otherwise it belongs to the background; each node in the fingerprint image I is described with coordinates, direction and type, then the Collections can be described as:

[0073] M ( I ) = { m i I | m i I = ...

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Abstract

The invention discloses a deformed fingerprint matching method based on a curvilinear coordinate system and transference of reference minutiae. The method comprises the following steps: (1). a fingerprint image is represented that I(m*n),O(i, j) belonging to [0, pi) is the local ridge orientation at the pixel (i,j), and each minutia in the fingerprint image I is described by coordinate, direction and type; (2). X axis and Y axis of the curvilinear coordinate axes are extracted from each minutia by taking each minutia as an origin based on a ridge mode and an orientation field of the minutiae; (3). scales of the curvilinear coordinate axes are computed; (4). the coordinate relation between every two minutiae mi and mj are computed; and (5). The minutiae are matched by the method based on the transference of the reference minutiae: provided that a template fingerprint image T and an input fingerprint image Q contain p minutiae and q minutiae respectively, C(T) equals (Ci, j<T>), C(Q) equals (Ci, j<T>), wherein, i is not less than 0 and j is less than q; T and Q are matched by utilizing the minutiae of the C(T) and C(Q) pair to compute the matching minutiae. The method has the advantages of high identification accuracy rate, high efficiency and simple algorithm.

Description

technical field [0001] The invention relates to a feature matching method for deformed fingerprint images. Background technique [0002] Fingerprint matching is a key issue in fingerprint identification technology. Whether the fingerprint matching is accurate is directly related to the correctness of fingerprint identification. [0003] The current fingerprint identification system mainly adopts the node-based matching method. The traditional node-based matching method uses polar coordinates to represent the coordinates and directions of the nodes. The polar coordinates are calculated from the rectangular coordinates. The relationship between two nodes is only related to the rectangular coordinates and directions of the two nodes. Texture mode is irrelevant. This method can accommodate slight fingerprint distortions, but not high fingerprint distortions, by using constraint windows. [0004] The distortion of the fingerprint is caused by the pressure exerted by the finger...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 朱信忠祝恩赵建民殷建平徐慧英
Owner ZHEJIANG NORMAL UNIVERSITY
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