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Non-contact palm print identity authentication method

An identity authentication, non-contact technology, applied in the field of non-contact palmprint identity authentication

Active Publication Date: 2018-08-17
SHENZHEN INSTITUTE OF INFORMATION TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] In order to solve the problem of non-contact palmprint identification in the prior art, the present invention provides a non-contact palmprint identity authentication method

Method used

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  • Non-contact palm print identity authentication method

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Experimental program
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Embodiment 1

[0035] like figure 1 As shown, the present invention provides a non-contact palmprint identity authentication method, comprising the following steps:

[0036] S1: Acquire a training sample image and a test sample image, where the training sample image and the test sample image include at least one set of palm images with clenched fists and palm images with open palms;

[0037] S2: reduce the resolution of the training sample image and the test sample image, and extract the ROI of the training sample image and the test sample image;

[0038] S3: transform the ROI of the training sample image to expand the ROI of the training sample image;

[0039] S4: Extract global features and local features that are irrelevant to rotation, perspective, and brightness transformation in the ROI of the training sample image through dual-network deep learning based on convolutional neural networks. According to the test sample image and the training sample image The similarity between the glob...

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Abstract

The invention provides a non-contact palm print identity authentication method. The non-contact palm print identity authentication method comprises the following steps: acquiring a training sample image and a testing sample image, wherein the training sample image and the testing sample image comprise at least one fisted palm image and at least one unfolded palm image; reducing the resolution ratios of the training sample image and the testing sample image, and acquiring ROI of the training sample image and the testing sample image; transforming ROI of the training sample image to expand ROI of the training sample image; and extracting global features and local features which are not related to rotation, perspective and brightness transformation in ROI of the training sample image, and carrying out identity authentication according to the similarity of the global features and the local features of the testing sample image and the training sample image. Under the condition of guaranteeing recognition speed, accuracy of recognition of non-contact palm prints acquired on the basis of an intelligent mobile terminal is improved.

Description

technical field [0001] The invention relates to the technical field of biometric identification, in particular to a non-contact palmprint identity authentication method. Background technique [0002] In recent years, smart mobile terminal devices such as smart phones and iPads have appeared more and more widely in people's lives. While people enjoy the convenience brought by these mobile devices, the resulting fraud and identity theft has also increased rapidly. Especially with the promotion of mobile Internet applications such as mobile banking and e-commerce, the security issues that restrict their development have become more prominent. For example, due to the troublesome input of the keyboard of the smart terminal, many users' passwords are very simple, and even a considerable number of smart terminal users find it troublesome and do not set a password. When the smart terminal is lost or stolen, the simple password is easy to be cracked, or because there is no password...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/1347G06V40/1376
Inventor 李钦赖红王文丹
Owner SHENZHEN INSTITUTE OF INFORMATION TECHNOLOGY
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