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High precision palm print recognition method based on two-dimensional quadrature Log-Gabor filtering

A palmprint recognition, high-precision technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as easy to be forgotten, cracked, easily lost, damaged, etc.

Inactive Publication Date: 2010-01-06
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are many defects in the first two methods: the object-based method is inconvenient to carry and is easy to be lost, damaged, stolen or forged; the knowledge-based method is easy to be forgotten, cracked, etc.
Therefore, this algorithm significantly increases the computational complexity of the feature extraction stage
At the same time, due to the existence of the DC component in the Gabor filter, the extracted features are greatly affected by the illumination.

Method used

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  • High precision palm print recognition method based on two-dimensional quadrature Log-Gabor filtering
  • High precision palm print recognition method based on two-dimensional quadrature Log-Gabor filtering
  • High precision palm print recognition method based on two-dimensional quadrature Log-Gabor filtering

Examples

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Comparison scheme
Effect test

Embodiment 1

[0037] A kind of embodiment of the present invention is, based on the high-precision palmprint recognition method of two-dimensional orthogonal Log-Gabor filter, its step is:

[0038] a. Palmprint image preprocessing: Use the edge tracking algorithm to obtain the corner points formed between the index finger and middle finger, ring finger and little finger of the original palmprint image, and use these two corner points to correct the palmprint image, and then cut out the center of the palmprint image A rectangular image block I with a size of 128×128 pixels;

[0039] b. Two-dimensional orthogonal Log-Gabor filter: use two-dimensional orthogonal Log-Gabor filters in two directions to form a two-dimensional orthogonal Log-Gabor filter OLG(f, θ, θ 0 , σ θ , f 0 , σ f ):

[0040] OLG ( f , θ , θ 0 , σ θ ...

Embodiment 2

[0067] The method of this example is basically the same as that of Example 1, the difference is only that when matching and identifying, the sampling factor ρ(4×4) is not used for down-sampling, but the Hamming distance matching algorithm is directly used for POPF 1 and POPF 2 Match and get the matching result. The method in this example is better than the method in Embodiment 1, but the amount of calculation is increased.

[0068] The two-dimensional orthogonal Log-Gabor filter OLG of the present invention (f, θ, θ 0 , σ θ , f 0 , σ f ) parameter θ 0 , σ θ , f 0 , σ f , except that 0.73304, 1.046, 0.02994, 0.6633 can be taken respectively; other values ​​close to it can also be taken, but the recognition accuracy will be reduced.

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Abstract

The invention discloses a high-precision palmprint recognition method based on two-dimensional orthogonal Log-Gabor filtration, which uses two two-dimensional Log-Gabor filters which are mutually orthogonal on directions to constitute the two-dimensional orthogonal Log-Gabor filter OLG (f, Theta, Theta 0, Sigma Theta, f0, Sigma f), thus carrying out the filtration of a palmprint image after the pre-treatment; then the palmprint image OF after the filtration adopts the phase coding mode to extract the orthogonal phase characteristic POPF which is equal to (FR, FI) of the palmprint image; then the Hamming distance matching algorithm is adopted to carry out the matching of orthogonal phase characteristics POPF1 and POPF2 of two palmprint images, thus obtaining the matching result. The algorithm is less affected by the conditions of the collected light and has low computational complexity and high recognition precision.

Description

technical field [0001] The invention relates to an identification method based on biometric features, in particular to a high-precision palmprint identification method based on two-dimensional orthogonal Log-Gabor filtering. Background technique [0002] In today's highly informationized world, with the rapid development of computer technology and network technology, information security has shown unprecedented importance. Accurate identification is required in daily life and in many occasions such as finance, justice, security check, e-commerce and so on. At present, there are three main identification methods for human beings: the first is knowledge-based methods, such as using passwords, passwords, etc.; the second is based on items, such as using keys, ID cards, etc.; the third is based on human body Biometric methods, such as face, fingerprint, palm print, voice, etc. There are many defects in the first two methods: the method based on items is inconvenient to carry a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
Inventor 张家树温长芝
Owner SOUTHWEST JIAOTONG UNIV
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