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Finger vein identification method for extracting phase-position and direction features

A finger vein and recognition method technology, applied in the field of finger vein feature extraction, can solve problems such as slow recognition speed, large finger position changes, and increased training samples, and achieve strong practicability, reliable recognition results, and overcome finger deformation.

Inactive Publication Date: 2010-07-28
HARBIN ENG UNIV
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AI Technical Summary

Problems solved by technology

After division, the number of training samples increases, resulting in slower recognition speed, and complex preprocessing of images is required; finger veins generally adopt non-contact acquisition methods, and finger positions vary greatly, so far there is no better one. finger positioning method

Method used

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  • Finger vein identification method for extracting phase-position and direction features
  • Finger vein identification method for extracting phase-position and direction features
  • Finger vein identification method for extracting phase-position and direction features

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Embodiment Construction

[0032] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0033] 1. Extract the phase and direction features of finger veins

[0034] Since the texture of the finger vein image is composed of multiple lines and has obvious and stable directionality, it can be regarded as a texture image. Two-dimensional Gabor filter belongs to two-dimensional continuous wavelet transform, which is widely used to extract texture features of images. Aiming at the characteristics of the vein pattern, the present invention first uses a two-dimensional Gabor filter to filter the original vein image to extract phase and direction features.

[0035] 1.1 Two-dimensional Gabor filter

[0036] Definition of two-dimensional Gabor filter [5] as follows:

[0037] G ( x , y , θ , μ , σ ) = ...

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Abstract

The invention provides a finger vein identification method for extracting phase-position and direction features, which comprises the following steps that: filtering the finger vein image, extracting the textural features, matching the features and setting the parameters of two-dimensional Gabor filter; the read-in finger vein original image is firstly filtered by the two-dimensional Gabor filter so as to respectively extract the textural information about the phase position and direction, the textural information is merged on the feature grade to form a code; and finally the improved Hamming distance is used for measuring the similarity between different codes. The method is free from pretreatment and positioning of the vein image, is simple and easy, and favors the extraction of the vein features. Moreover, the method can resist the translation and the rotation, and can rapidly and correctly perform the identification.

Description

(1) Technical field [0001] The invention belongs to the technical field of biological feature identification, and in particular relates to a finger vein feature extraction method. (2) Background technology [0002] Human finger vein recognition has the advantages of stability, uniqueness, high anti-counterfeiting, non-contact and high precision, and is a frontier topic in the field of pattern recognition. It has broad application prospects and economic value. [0003] Finger vein recognition technology was first proposed by Hitachi and its products were applied to high-security occasions such as banks and security checks. Naoto Miura [1] proposed a vein recognition method based on template matching, which first binarized the image, and then performed distance transformation on the binarized image to overcome the large number of uninformative vectors contained in the observation vector sequence. Finally, the embedded hidden Markov model is used to recognize finger veins, a...

Claims

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Application Information

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IPC IPC(8): G06K9/00A61B5/117A61B5/1172
Inventor 王科俊刘靖宇冯伟兴王晨晖马慧
Owner HARBIN ENG UNIV
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