A fingerprint feature extraction and compression coding method based on Gabor transformation

A fingerprint feature and compression coding technology, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems affecting the rapidity of the fingerprint recognition system, the difficulty of feature storage and matching, and the increase of the dimension of fingerprint features. Effects of data storage and matching operation, enhanced discrimination ability, and noise removal

Pending Publication Date: 2019-04-09
STATE GRID SHANDONG ELECTRIC POWER
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AI Technical Summary

Problems solved by technology

However, after multi-scale and multi-directional Gabor transformation, the dimensionality of fingerprint features will increase significantly, which brings great difficulties to later feature storage and matching, and seriously affects the rapidity of fingerprint recognition system.

Method used

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  • A fingerprint feature extraction and compression coding method based on Gabor transformation
  • A fingerprint feature extraction and compression coding method based on Gabor transformation
  • A fingerprint feature extraction and compression coding method based on Gabor transformation

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Embodiment 1

[0043] The method for fingerprint feature extraction and compression coding based on Gabor transform of the present invention comprises the following steps:

[0044] (1), read in an original fingerprint image;

[0045] (2), based on the Gabor transformation, the fingerprint feature is extracted, and the Gabor amplitude response feature map of the fingerprint image is obtained. The Gabor function used is as follows:

[0046]

[0047]

[0048] Among them, x, y are the image coordinates of a given position; parameter σ=0.5; is the Gabor filter center frequency; is the phase angle of filters in different directions, 8 different directions μ∈{0,1,2,3,4,5,6,7} in the Gabor filter bank, and 5 different scales ν∈{0,1,2 ,3,4}, the maximum center frequency k max = π / 2;

[0049] The Gabor feature of the fingerprint image is obtained by convolving the fingerprint image with the Gabor filter. Assuming that the gray value of the fingerprint image is I(x,y), then I and the Gabor ...

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Abstract

The invention relates to the technical field of fingerprint identification, in particular to a Gabor transformation-based fingerprint feature extraction and compression coding method, which comprisesthe following steps of: (1) reading an original fingerprint image; (2) extracting fingerprint features based on Gabor transformation to obtain a Gabor amplitude response feature map of the fingerprintimage; (3) dividing the Gabor amplitude response feature map of each fingerprint image into Wx W small blocks, and carrying out block processing on the Gabor amplitude response feature maps; (4) in each small block, performing coding operation on the Gabor amplitude response value of each pixel point to obtain a total eigenvector F = [F1F2... FW x W] of the whole image; (5) taking F total = [F1 F2... FW * W] as a final feature of one fingerprint image, storing the final feature into a database, and using the final feature for data matching in fingerprint identification; According to the method, a Gabor amplitude response coding method is adopted, effective features are reserved, meanwhile, the data scale of fingerprint features can be reduced to a large extent, and data storage and matching operation are facilitated.

Description

technical field [0001] The invention relates to the technical field of fingerprint identification, in particular to a method for extracting and compressing encoding of fingerprint features based on Gabor transform. Background technique [0002] Gabor transform is a window-based short-time Fourier transform, which solves the shortage of local frequency changes of Fourier transform and can effectively obtain local information of signals. In image processing, texture features often reflect changes in local areas, so two-dimensional Gabor filters can be used to extract image texture features to achieve good results. [0003] Fingerprint identification is a typical biometric identification technology, the current related technology research is the most mature, and the application is also the most extensive. However, due to various unavoidable factors, it is difficult to extract and match fingerprint texture features accurately. As a classic texture feature extraction tool, Gabo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/40
CPCG06V40/1347G06V10/30
Inventor 段磊梁卫国刘涛李伟鹏张宁夏红燕于萌赵彦龙
Owner STATE GRID SHANDONG ELECTRIC POWER
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