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Attribute learning-based finger vein recognition method and device

A finger vein and attribute learning technology, applied in biometrics recognition, character and pattern recognition, instruments, etc., to achieve the effect of improving storage and computing efficiency, better explaining meaning, and enhancing intuitive expression ability

Active Publication Date: 2018-04-20
SHANDONG UNIV OF FINANCE & ECONOMICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In view of the deficiencies in the existing technology, solve the problem of how to intuitively represent the features in the finger vein recognition in the existing technology, improve the partition between the features in the finger vein recognition, and how to improve the finger vein recognition In view of the problems of recognition accuracy and recognition efficiency, the present invention provides a method and device for finger vein recognition based on attribute learning. Compared with the features extracted in traditional finger vein recognition, the present invention effectively improves the accuracy of features in existing finger vein recognition. Interpretability and partitioning between image features can effectively improve the recognition accuracy and recognition efficiency of finger vein recognition

Method used

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  • Attribute learning-based finger vein recognition method and device
  • Attribute learning-based finger vein recognition method and device
  • Attribute learning-based finger vein recognition method and device

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] The purpose of Embodiment 1 is to provide a method for recognizing finger veins based on attribute learning.

[0067] In order to achieve the above object, the present invention adopts the following technical scheme:

[0068] like figure 1 as shown,

[0069] A method for recognizing finger veins based on attribute learning, the method comprising:

[0070] Obtain the finger vein image library, and perform data augmentation to form a training set;

[0071] Preset the interpretability attribute and distinguishing attribute corresponding to the finger vein image, and establish its corresponding attribute learning model for each interpretable attribute and distinguishing attribute in the training set;

[0072] Obtain the finger vein image to be recognized, determine the attribute characteristics of the finger vein image to be recognized according to all attribute learning models, and perform finger vein recognition.

[0073] In this embodiment, a finger vein recognition ...

Embodiment 2

[0126] The purpose of Embodiment 2 is to provide a computer-readable storage medium.

[0127] In order to achieve the above object, the present invention adopts the following technical scheme:

[0128] A computer-readable storage medium, in which a plurality of instructions are stored, and the instructions are adapted to be loaded by a processor of a terminal device and perform the following processing:

[0129] Obtain the finger vein image library, and perform data augmentation to form a training set;

[0130] Preset the interpretability attribute and distinguishing attribute corresponding to the finger vein image, and establish its corresponding attribute learning model for each interpretable attribute and distinguishing attribute in the training set;

[0131] Obtain the finger vein image to be recognized, determine the attribute characteristics of the finger vein image to be recognized according to all attribute learning models, and perform finger vein recognition.

[013...

Embodiment 3

[0134] The purpose of Embodiment 3 is to provide a finger vein recognition device based on attribute learning.

[0135] In order to achieve the above object, the present invention adopts the following technical scheme:

[0136] A finger vein recognition device based on attribute learning, using an Internet terminal device, including a processor and a computer-readable storage medium, the processor is used to implement instructions; the computer-readable storage medium is used to store multiple instructions, and the instructions is adapted to be loaded by the processor and perform the following processing:

[0137] Obtain the finger vein image library, and perform data augmentation to form a training set;

[0138] Preset the interpretability attribute and distinguishing attribute corresponding to the finger vein image, and establish its corresponding attribute learning model for each interpretable attribute and distinguishing attribute in the training set;

[0139] Obtain the...

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Abstract

The invention discloses an attribute learning-based finger vein recognition method and device. The method comprises the following steps of: obtaining a finger vein image library and carrying out dataaugmentation to form a training set; and aiming at characteristics of finger veins, designing interpretable attributes, and respectively establishing corresponding attribute learning modules for the interpretable attributes in the training set so as to obtain values of the interpretable attributes. In order to furthermore improve feature discrimination performance, a discriminative assistance branch-based convolutional neural network is used as a discriminative attribute learning model, and a new Inter-intra loss function is designed, so that the discrimination performance of the discriminative attribute learning model is strengthened; and to-be-recognized images are obtained, and attribute features of the to-be-recognized images are determined according to all the attribute learning models so as to carry out finger vein recognition. Compared with traditional features, the method provided by the invention is capable of improving the interpretability, recognition precision and recognition efficiency of existing features.

Description

technical field [0001] The invention belongs to the technical field of finger vein recognition, and relates to a finger vein recognition method and device based on attribute learning, in particular to a finger vein recognition method and device based on interpretable attribute learning and distinguishable attribute learning. Background technique [0002] In recent years, biometrics has played an increasingly important role in information security, e-commerce and other fields. As an emerging biological feature, finger veins have attracted more and more attention from researchers. Compared with more mature biological features such as fingerprints and faces, finger veins have the advantages of internal features, living body recognition, non-contact acquisition, and acquisition equipment with small size and low cost. In view of these advantages of finger veins, finger vein recognition technology has been widely used in attendance, car locks, ATM and other fields. [0003] Trad...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06K9/66G06N3/04
CPCG06V40/10G06V40/14G06V30/194G06N3/045G06F18/214
Inventor 袭肖明尹义龙孟宪静杨璐
Owner SHANDONG UNIV OF FINANCE & ECONOMICS
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