Fingerprint matching method and fingerprint matching implementation mode

A fingerprint and fingerprint image technology, which is applied in the field of fingerprint identification and verification, and can solve the problems of image noise, artificial noise, and difficulty in obtaining correlation.

Inactive Publication Date: 2013-09-11
TIANJIN HUAWEI ZHIXIN TECH DEV CO LTD
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AI Technical Summary

Problems solved by technology

[0032] 1. The fingerprint scanning area of ​​the query fingerprint is different from that of the template fingerprint
[0033] 2. Non-repeatable contact of the finger with the scanner due to manual operation or accidental contact that temporarily changes the structure of the fingerprint ridges
[0034] 3. Different skin and environmental factors can cause low contrast and/or image noise in the image, these factors include: dry skin, sweating, dust, humidity, residue on the glass surface of t

Method used

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  • Fingerprint matching method and fingerprint matching implementation mode
  • Fingerprint matching method and fingerprint matching implementation mode
  • Fingerprint matching method and fingerprint matching implementation mode

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Embodiment Construction

[0094] The following detailed description and illustration of the preferred mode of implementation will enable the present invention to be more clearly understood.

[0095] In the following description, the well-known functions and operators are not introduced too much, so as to avoid the readers from being confused about the concept of the invention due to unnecessary details.

[0096] In the following sections, we describe a method for processing fingerprint images and one of its implementations, which transforms the template into points on a feature space that are invariant to the appearance of the fingerprint: this space refers to a A typical representation, meaning that the fingerprint image lies in a normalized space. Furthermore, the feature space representation will improve the data compression ratio and be robust to noise (eg scratches) of the acquired image. We also introduce a non-linear extension of this space, which allows us to deal with the elastic deformation ...

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PUM

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Abstract

The invention relates to a fingerprint identification and verification method. Specifically, a fingerprint matching method and a fingerprint matching implementation mode comprise that fingerprints are turned into a standardized frame ( with unified regulations), wherein the frame is used for inputting, matching and storing a fingerprint template. The fingerprint matching method and the fingerprint matching implementation mode are an image processing method, can remove liner deformation and elastic deformation in an image, and turn a group of two-dimension digital images into a structural framework with the unified regulations. The invention further provides an image processing method for fingerprint image matching. According to the fingerprint matching method and the fingerprint matching implementation mode, the structure of the typical framework is involved, detection of sweat pore characteristics from the fingerprint image is involved, nonlinearity calibration of the elastic deformation is involved, an input program is involved, and a matching program is involved.

Description

technical field [0001] The invention relates to a fingerprint identification and verification method. Specifically, the present invention turns fingerprints into a standardized framework (a framework with a unified specification), which is used to enter, match and store fingerprint templates. technical background [0002] The fingerprint is characterized by its smooth fingerprint ridges and valleys, and its characteristics are reflected in the position, interval, shape and tiny details of these ridges and valleys. The detail is the tail end and fork of the ridge. [0003] Traditionally, fingerprints have been widely adopted in the field of biometrics. The structure and distinction of fingerprints has been known since the early 20th century (see Handbook of Fingerprint Recognition, D. Maltoni, et al, Springer 2003). Fingerprint science is based on three basic principles: [0004] 1. For different fingerprints, the ridges and grooves of the individual's epidermis have diff...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 王礼
Owner TIANJIN HUAWEI ZHIXIN TECH DEV CO LTD
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