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Fingerprint identification method and device

A fingerprint recognition and fingerprint technology, applied in the field of image recognition, can solve problems such as inaccurate fingerprint recognition, fingerprints that cannot be too dry, and constraints on the user experience of fingerprint recognition products, so as to improve accuracy and reduce computational complexity.

Inactive Publication Date: 2016-02-24
XIAOMI INC
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AI Technical Summary

Problems solved by technology

Then, the fingerprint identification in the related art generally requires that the user's fingerprints should not be too dry, and the quality of the fingerprint image should be clear enough to ensure the extraction of global feature points and local feature points of the fingerprint. When the quality of the fingerprint image is poor, it will be The inability to identify the global and local feature points on the fingerprint leads to inaccurate final fingerprint recognition, thus restricting the user experience of fingerprint recognition products to a certain extent

Method used

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  • Fingerprint identification method and device
  • Fingerprint identification method and device

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Embodiment Construction

[0052]Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0053] Figure 1A is a flowchart of a fingerprint identification method shown according to an exemplary embodiment, Figure 1B It is a schematic structural diagram of a convolutional neural network shown according to an exemplary embodiment; the fingerprint identification method can be applied to fingerprint identification devices equipped with fingerprint sensors (for example: smartphones and ta...

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Abstract

The invention discloses a fingerprint identification method and device. The method comprises the following steps: extracting features from a first fingerprint image collected by a fingerprint sensor and a second fingerprint image stored in a database by a convolutional neural network to obtain a first fingerprint feature corresponding to the first fingerprint image and a second fingerprint feature corresponding to the second fingerprint image, wherein the dimensions of the first fingerprint feature and the second fingerprint feature are the same; carrying out dimensionality reduction processing on the first fingerprint feature and the second fingerprint feature to obtain a third fingerprint feature and a fourth fingerprint feature respectively, wherein the dimensions of the third fingerprint feature and the fourth fingerprint feature are the same; and determining whether the first fingerprint image and the second fingerprint image are the same fingerprint according to a cosine distance of the third fingerprint feature and the fourth fingerprint feature. The fingerprint identification method and device disclosed by the technical scheme in the invention can be used for avoiding the problem that fingerprint can be only identified by the global feature points and local feature points of the fingerprint in the prior art, and improving the fingerprint identification accuracy of low-quality fingerprint images.

Description

technical field [0001] The present disclosure relates to the technical field of image recognition, in particular to a fingerprint recognition method and device. Background technique [0002] Since around 1980, fingerprint recognition began to be studied, and after 1990, fingerprint recognition has been very mature and widely used in both civilian and military fields. Then, the fingerprint identification in the related art generally requires that the user's fingerprints should not be too dry, and the quality of the fingerprint image should be clear enough to ensure the extraction of global feature points and local feature points of the fingerprint. When the quality of the fingerprint image is poor, it will be Failure to identify the global and local feature points on the fingerprint leads to inaccurate final fingerprint identification, thus restricting the user experience of fingerprint identification products to a certain extent. Contents of the invention [0003] In orde...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/1347G06V40/1365
Inventor 张涛龙飞陈志军
Owner XIAOMI INC
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