Fingerprint identification method

A fingerprint identification and fingerprint feature technology, applied in the field of biometrics, can solve the problems of slow recognition speed and low recognition rate

Inactive Publication Date: 2008-10-01
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0004] The existing fingerprint identification methods generally only consider the local features of the minutiae points of the fingerprint, and generally have problems such as low recognition rate and slow recognition speed.

Method used

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Embodiment Construction

[0065] The present invention will be further described now in conjunction with accompanying drawing.

[0066] The fingerprint recognition method of the present invention consists of two steps of fingerprint feature extraction and feature matching, which will be described separately below.

[0067] 1. Fingerprint Feature Extraction

[0068] The process of feature extraction is as follows: primary selection of detail features for the preprocessed image; pruning of the detail features after primary selection; reliability verification of the pruned minutiae features; finally, according to the neighborhood of the minutiae points domain relationship and ridge curvature features to construct feature vectors; the specific processing flow is as follows figure 1 shown in the left half. Each processing flow is described as follows:

[0069] (1) Primary selection of fingerprint minutiae points: this embodiment adopts the fingerprint minutiae proposed in the paper "Fingerprint minutiae ...

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Abstract

The invention relates to a fingerprint identification method, which is composed by two steps of extracting fingerprint characteristics and matching the characteristics: extracting characteristics comprises extracting characteristics of minutia points aiming at the pre-processed fingerprint image, pruning the primarily-selected minutia points, verifying reliability of the characteristics of the minutia points after pruning, and performing characteristic vector coding; characteristics matching at first utilizes the curvature characteristics of ridgeline to calibrate the images for the reduction of complexity of calibration, then uses the adjacent domain relation characteristics of the fingerprint to carry out the computation of matching score and statistic of matching double points, and in accordance with the number of matching double points and the matching score, makes use of multilevel judgement system to judge the similarity of two fingerprints. The invention has the advantages of high identification rate, fast identification speed and strong reliability.

Description

technical field [0001] The invention relates to a biological identification technology, in particular to a fingerprint identification method. Background technique [0002] Because people's fingerprints vary widely and there is almost no repetition, fingerprint recognition is an important method of identification. Fingerprint identification technology refers to a comprehensive technology that performs computer image processing and pattern recognition on the collected fingerprint image information. [0003] The general process of fingerprint recognition is as follows: firstly, the fingerprint image is obtained by the fingerprint collection device, and then the image is preprocessed to facilitate the extraction of fingerprint features. After feature extraction, the consistency of the two is judged by pattern matching. If they are similar, it can be determined that they are the fingerprints of the same person; otherwise, it can be determined that the two fingerprints are not fr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 王崇文丁刚毅唐明湘
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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