Fingerprint image feature extraction method and device and computer readable storage medium

A fingerprint image and feature extraction technology, which is applied to computer components, calculations, neural learning methods, etc., can solve the problems of slow comparison speed, inability to meet the requirements of high-speed platform applications, and low image matching efficiency. The effect of improving matching efficiency

Pending Publication Date: 2021-08-27
FOCALTECH ELECTRONICS SHENZHEN CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The current neural network used for feature extraction of fingerprint images outputs floating-point descriptors, and its feature comparison speed is slow, which cannot meet the requirements of platform applications with high speed requirements.
For example, using image matching algorithms based on feature points such as sift and orb to extract features from fingerprint images, there are a lot of secondary / tertiary feature points in the image. If floating-point feature matching is still used, the matching efficiency of the image will be extremely low.

Method used

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  • Fingerprint image feature extraction method and device and computer readable storage medium
  • Fingerprint image feature extraction method and device and computer readable storage medium
  • Fingerprint image feature extraction method and device and computer readable storage medium

Examples

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Effect test

Embodiment 1

[0041] figure 1 It is a flow chart of the feature extraction method of fingerprint image in one embodiment of the present invention. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.

[0042] refer to figure 1 As shown, the feature extraction method of the fingerprint image specifically includes the following steps:

[0043] Step S101, acquiring a fingerprint image.

[0044] In this embodiment, a fingerprint image is collected by a fingerprint collector. In this embodiment, the fingerprint collector is an optical fingerprint collector, a thermal fingerprint reader or a biological radio frequency fingerprint reader.

[0045] Step S102, performing preprocessing on the fingerprint image to remove noise in the fingerprint image.

[0046] In this implementation manner, the preprocessing the fingerprint image to remove noise in the fingerprint image includes: performing fingerprint segmentation on the fin...

Embodiment 2

[0060] figure 2 It is a structural diagram of the fingerprint image feature extraction device 40 in one embodiment of the present invention.

[0061] In some embodiments, the fingerprint image feature extraction and display device 40 runs in an electronic device. The fingerprint image feature extraction device 40 may include a plurality of functional modules composed of program code segments. The program codes of each program segment in the fingerprint image feature extraction device 40 can be stored in a memory, and executed by at least one processor, so as to perform the function of fingerprint image feature extraction.

[0062] In this embodiment, the fingerprint image feature extraction device 40 can be divided into multiple functional modules according to the functions it performs. refer to figure 2 As shown, the feature extraction device 40 of the fingerprint image may include an acquisition module 401 , a preprocessing module 402 , a feature extraction module 403 a...

Embodiment 3

[0080] image 3 It is a schematic diagram of the electronic device 6 in an embodiment of the present invention.

[0081] The electronic device 6 includes a memory 61 , a processor 62 and a computer program 63 stored in the memory 61 and executable on the processor 62 . When the processor 62 executes the computer program 63, the steps in the embodiment of the feature extraction method of the above-mentioned fingerprint image are realized, for example figure 1 Steps S101 to S104 are shown. Alternatively, when the processor 62 executes the computer program 63, it realizes the functions of each module / unit in the embodiment of the above-mentioned feature extraction device for fingerprint images, for example figure 2 Modules 401-404 in .

[0082] Exemplarily, the computer program 63 can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 61 and executed by the processor 62 to complete this invention. The one or more modules / un...

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PUM

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Abstract

The invention relates to a fingerprint image feature extraction method and device and a computer readable storage medium. The method comprises the following steps: acquiring a fingerprint image; performing preprocessing on the fingerprint image to remove noise in the fingerprint image; extracting binary features of the fingerprint image by using a trained preset convolutional neural network model, wherein the preset convolutional neural network comprises a continuous activation function which has a function of simulating a step function; and matching the binary feature of the fingerprint image with a binary feature of a pre-stored fingerprint image to obtain a matching result. According to the scheme, binarization processing is carried out on the features output by the preset convolutional neural network model through the activation function of the preset convolutional neural network model to obtain the binary features of the fingerprint image, and the binary features of the fingerprint image are matched with the binary features of the pre-stored fingerprint image to obtain the matching result; therefore, the matching efficiency of the binary features of the fingerprint image is improved.

Description

technical field [0001] The invention relates to the field of fingerprint image recognition, in particular to a feature extraction method, device and computer-readable storage medium of a fingerprint image. Background technique [0002] The current neural network used for feature extraction of fingerprint images outputs floating-point descriptors, and its feature comparison speed is slow, which cannot meet the requirements of platform applications with high speed requirements. For example, using image matching algorithms based on feature points such as sift and orb to extract features from fingerprint images, there are a lot of secondary / tertiary feature points in the image. If floating-point feature matching is still used, the matching efficiency of the image will be extremely low. . Contents of the invention [0003] In view of the above, it is necessary to propose a fingerprint image feature extraction method, device and computer-readable storage medium to extract the b...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/38G06K9/40G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/1347G06V10/267G06V10/28G06V10/30G06V10/467G06V10/44G06V10/757G06N3/045
Inventor翟剑锋龙文勇李准
OwnerFOCALTECH ELECTRONICS SHENZHEN CO LTD