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Immune cloned finger venous image characteristic extraction method based on linear weighted function

A finger vein feature and immune cloning technology, which is applied to gene models, instruments, character and pattern recognition, etc., can solve the problems of misjudgment of noise into vein information, troublesome feature extraction, and difficulty in extracting features of small veins and vessels, etc.

Active Publication Date: 2010-11-17
TOP GLORY TECH INC CO LTD
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Problems solved by technology

The characteristics of finger veins are no exception. Because the veins of different people have different sizes, the characteristics of small veins are not easy to extract; in addition, the finger vein images obtained by the current acquisition device have indistinct distinction between the target and the background, noise and vein information. Coexistence, it is quite difficult to obtain accurate vein information from it
Moreover, the feature extraction of low-quality vein images is easy to misjudge noise as vein information, and misjudge poor vein information as noise
In addition, due to the influence of environment and temperature, the expansion and contraction of finger vein blood vessels also brings troubles to feature extraction, which is a hot topic in current research at home and abroad.

Method used

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  • Immune cloned finger venous image characteristic extraction method based on linear weighted function
  • Immune cloned finger venous image characteristic extraction method based on linear weighted function
  • Immune cloned finger venous image characteristic extraction method based on linear weighted function

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Embodiment Construction

[0023] The implementation of the present invention will be described in detail below in conjunction with the accompanying drawings and specific examples.

[0024] Such as figure 1 Shown is the flow chart of concrete steps of the inventive method, and the present invention comprises the following concrete steps:

[0025] Step 1, using the adaptive threshold method to generate initial antibody A 1 , set parameters to determine the scope of the search space;

[0026] Step 2, for the initial antibody A generated 1 Perform the mutation operation in the neighborhood to get the mutation point img(i0, j0);

[0027] Step 3: weight the inner point of the circle with the mutation point as the center and k as the radius, img(i0+kcosθ, j0+ksinθ), and then calculate its affinity value Aff and antibody concentration value C V ;

[0028] Step 4, find out the best antibody max(Aff) and perform clone selection operation;

[0029] Step five, calculate its antibody concentration function va...

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Abstract

The invention discloses an immune cloned finger venous image characteristic extraction method based on a linear weighted function (LWF), aiming at the problems that noise is easily misjudged into venous information and the worse venous information is misjudged into the noise for characteristic extraction in a low-quality venous image. In an algorithm of the method, an initial antibody is generated by adopting a self-adaptive threshold method, a weight value is obtained by adopting a curve fitting mode, and balancing denoising and enhancing boundaries are achieved by carrying out linear weighting on a venous region. An affinity function and an antibody concentration function are constructed, and the growth of the venous information is promoted and the interference of the noise is inhibited according to the affinity function and an antibody concentration value. Simulation results indicate that compared with other algorithms, the algorithm has the characteristics of strong authenticity, accuracy, continuity, more abundant detail characteristics and the like and particularly has strong noise resisting capability and good extraction effect for a low-quality venous image.

Description

technical field [0001] The invention relates to feature extraction technology of finger vein pictures. Background technique [0002] In today's society, biometric identification technology has attracted more and more attention. The diversity of biological characteristics has resulted in the diversity of identification technologies, and vein feature recognition technology, as one of them, has also emerged as the times require. In 2000, M.Kono and other researchers developed a finger vein near-infrared recognition system for personal identification with the support of Hitachi Corporation, Japan, and applied it to personal identification. For different biometric feature recognition, it is necessary to adopt a suitable feature extraction algorithm. The characteristics of finger veins are no exception. Because the veins of different people have different sizes, the characteristics of small veins are not easy to extract; in addition, the finger vein images obtained by the curren...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/12
Inventor 余成波周召敏李洪兵唐海燕
Owner TOP GLORY TECH INC CO LTD
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