Method for extracting finger vein grain by using directional filtering technique

A finger vein and direction filtering technology, applied in image data processing, instruments, multi-channel programming devices, etc., can solve problems such as over-segmentation, poor connectivity of vein patterns, and inability to achieve results, achieving less noise and connectivity. With the effect of good smoothness and strong practicality

Inactive Publication Date: 2010-03-10
HARBIN ENG UNIV
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Problems solved by technology

Applying traditional single-threshold segmentation methods such as fixed threshold, overall mean, and overall OSTU to process vein images, it is difficult to obtain ideal segmentation results; however, multi-threshold methods such as local mean and local OSTU have improved threshold segmentation results. , but still cannot achieve satisfactory results
NiBlack [1] The method is c

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  • Method for extracting finger vein grain by using directional filtering technique
  • Method for extracting finger vein grain by using directional filtering technique
  • Method for extracting finger vein grain by using directional filtering technique

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[0020] Hereinafter, the present invention will be described in more detail with examples in conjunction with the accompanying drawings:

[0021] 1. Segment the finger area

[0022] Since the collected image is affected by the environment, the gray values ​​of the background pixels are not all 0. Before extracting the vein target, it is necessary to obtain the set of pixels in the finger area for subsequent processing.

[0023] This patent is realized by a simple image thresholding operation. Threshold selection methods are mainly divided into entropy-based threshold selection methods; moment-based threshold selection methods; gradient-based threshold selection methods; and concavity-based threshold selection methods. It is determined by experiment to select Kapur entropy for thresholding. According to target probability distribution and background probability distribution with definition:

[0024] H B ( t ) = - X i = 0 t p i P t lo...

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Abstract

The invention provides a method for extracting finger vein grain by using a directional filtering technique, comprising the steps of positioning finger regions, strengthening filtering and extractinga finger vein mode. The method concretely comprises the following steps: firstly, dividing finger regions on a read-in vein image by using a Kapur entropy threshold value method; secondly, removing burrs for the finger regions by adopting an opening operation in mathematical morphology; thirdly, acquiring a directional diagram of the finger vein region and designing a directional filter by combining the characteristic of the vein grain; fourthly, carrying out filtering enhancement on the image by combining the acquired directional diagram and the directional filter; and finally, carrying outa binaryzaiton operation to extract the finger vein mode by adopting a NiBlack method. The finger vein grain extracted by the method has good connectivity and smoothness and less noise.

Description

(1) Technical field [0001] The invention belongs to the technical field of biological feature identification, and in particular relates to a method for extracting finger vein lines using directional filtering technology. (2) Background technology [0002] Vein recognition is a highly reliable identification method, and its recognition performance is largely related to the quality of vein target extraction. The purpose of vein target extraction is to extract the vein pattern from the background. The extraction effect will directly affect the processing results of feature extraction and feature matching. Therefore, the pros and cons of this part of the algorithm will have a significant impact on the performance of the entire system. . [0003] The venous vessels generally have a network structure, and their ridges have a certain width. These characteristics of the vein image determine the particularity of its extraction method. Traditional vein image extraction techniques ar...

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Application Information

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IPC IPC(8): G06F9/46G06T5/00
Inventor 王科俊马慧冯伟兴李雪峰王晨晖贲晛烨
Owner HARBIN ENG UNIV
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