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An intelligent vein authentication method and system with autonomous learning ability

A technology of self-learning and authentication methods, applied in the field of intelligent vein authentication methods and systems, can solve problems such as long learning time, complex deep learning models, and low-level authentication accuracy

Active Publication Date: 2021-08-03
通华科技(大连)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practical applications, the samples to be identified and classified are dynamically increased. Only the parameters generated during the supervised learning process before the system goes online cannot accurately identify all the newly added samples to be identified, which affects the recognition accuracy of new samples.
(2) High requirements on the amount of learning data and long learning time
The deep learning model is relatively complex, and parameter optimization requires a large amount of training data for support, and multiple iterations are required to complete the training
However, the current finger vein sample data has neither a standard training data set nor a sufficient amount of training data.
(3) The accuracy of certification has not yet reached the level of precision

Method used

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  • An intelligent vein authentication method and system with autonomous learning ability
  • An intelligent vein authentication method and system with autonomous learning ability
  • An intelligent vein authentication method and system with autonomous learning ability

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Embodiment Construction

[0017] In order to make the objects, technical solutions, and advantages of the present invention more clearly, the technical solutions in the embodiments of the present invention will be described in the following description of the technical solutions in the embodiments of the present invention.

[0018] like Figure 2 - Figure 10 A smart vein authentication method having an autonomous learning ability, which includes the following steps:

[0019] S1: Collect the venous image information of the selected multiple samples, each sample is collected and serial numbers;

[0020] S2: Veneous image processing of the collected sample information: uses normalized grayscale processing, the finger profile recognition of the boundary check, the angle calibration based on finger midline, position correction and interception, method based on frequency filtering Image is processed;

[0021] S3: Data expansion and training data of the data expansion and training data translational in the surroun...

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Abstract

The invention discloses an intelligent vein authentication method and system with self-learning ability. In the method, the full convolutional neural network deep learning model is combined with repeated, regular global training and irregular local training. Training, before the full convolutional neural network deep learning model goes online, use the accumulated samples to conduct a global training, and save the optimized feature extraction, feature recognition and feature classification parameters; after the model goes online, use the newly registered samples to The model conducts irregular local training to complete the optimization of feature classification parameters; under certain conditions, the newly accumulated samples are used to conduct regular global training on the model, and the feature extraction, feature recognition and feature classification parameters are optimized again, ensuring that This model becomes an intelligent authentication system with self-learning ability and enhances the accuracy of vein authentication at the same time.

Description

Technical field [0001] The present invention relates to the field of image recognition and processing, and more particularly to a smart vein authentication method and system with autonomous learning capabilities. Background technique [0002] In recent years, with the rapid development of biological identification technology, the fingerprint certification method has been widely used. At the same time, there is a more confidentiality of iris, sound, human face, vein, refers to the intravenous type of intravenous, and more and more. Among them, the venous authentication method is more widely used due to the advantages of high confidentiality, unproduction, convenient authentication, and small certification equipment. In the prior art, the finger vein authentication generally uses various image segmentation algorithms from the acquired finger image, forming a venous image, and then extracts the individual vein characteristics from the context of the context of the context. Finally, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/20G06K9/62G06N3/04
CPCG06V40/10G06V40/14G06V10/147G06N3/045G06F18/214
Inventor 许炎李稚春
Owner 通华科技(大连)有限公司
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